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IN_Senior Associate_Power BI_Data & Analytics _Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:Roles &amp; Responsibilities: · Hands on Experience with Power BI, Database and willing to work as an individual contributor. · Clear Understanding of Data Warehousing Concepts. · Should Work with a data engineering team closely to perform data extraction and data transformation processes to create the datasets. · Good Experience in different Categories of DAX functions like Time Intelligence Function, Filter Functions, Date Functions, Logical Functions, Text Functions, Number and Statistical Functions. · Good experience with Visual level, Page level, Report level and Drill Through filters for filtering the data in a Report. · Should work with On-Premises Data Gateway to Refresh and Schedule Refresh of the Dataset. · Strong data transformation skills through Power Query Editor with familiarity in M language. · Data Modelling knowledge with Joins on multiple tables and creating new bridge tables. · Knowledge on PBI desktop features like Bookmarks, Selections, Sync Slicers &amp; Edit interactions. · Knowledge of PBI Service features like creating import, scheduling extract refresh, managing subscriptions etc. · Publishing and maintenance of Apps in Power BI. Also, knowledge on configuring Row Level Security and Dashboard level Security in Power BI Service. · Experience in creating and publishing reports on both web and mobile layout. · Able to Perform Unit Testing like functionality testing and Data Validation. · Report Performance Optimization and Troubleshooting. · Clear Understanding of UI and UX designing. · Hands on Working Experience in SQL to write the queries. · Very good communication skills must be able to discuss the requirements effectively with business owners.Mandatory skill sets:Power BI, DAXPreferred skill sets:Power BI, DAXYears of experience required:3-7 YearsEducational Qualification BE, B.Tech, MCA, M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsPower BIOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Data Analyst

Staff Machine Learning Engineer (Gen AI/Agentic AI)About ZscalerServing thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world’s largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.We're looking for an experienced Staff Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Engineering Manager, you'll be responsible for:<ul><li>Developing and deploying Gen AI/ML workflows to enhance engineering efficiency, software quality, security, deployments, observability, and incident analysis</li><li>Developing Agentic AI based solutions to connect AI code assist tools with multiple engineering systems and automating workflows </li><li>Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments</li><li>Collaborating with cross-functional teams to define system requirements and design scalable, secure, and reliable solutions </li><li>Providing technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth</li></ul><h4>What We're Looking for (Minimum Qualifications)</h4><ul><li>5+ years of experience as a Software Engineer or ML Platform Engineer</li><li>Skilled in data science tools, languages, and frameworks like Python, R, Java, TensorFlow, PyTorch, Langchain, LangGraph, N8N, MXNet, SQL, and related libraries, with expertise in writing clean, efficient, and maintainable code</li><li>Proven experience in creating Gen AI/ML-based systems using Large Language Models (LLMs), fine-tuning LLMs for specific tasks, Retrieval-Augmented Generation (RAG) and Agentic AI</li><li>Expertise in system design, security, and scalability, with a proven history of building complex, scalable systems</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is highly desirable</li></ul><h4>What Will Make You Stand Out (Preferred Qualifications)</h4><ul><li>Expertise in developing Agentic AI based solutions using MCP servers, ADK or equivalent frameworks</li><li>Experience deploying ML models in production with orchestration tools like Kubeflow, Kubernetes, and Airflow</li><li>Experience with distributed computing (e.g., Spark), big data, GPU/TPU solutions, and hardware-specific workflow design</li></ul>#LI-Hybrid #LI-SK3At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:<ul><li>Various health plans</li><li>Time off plans for vacation and sick time</li><li>Parental leave options</li><li>Retirement options</li><li>Education reimbursement</li><li>In-office perks, and more!</li></ul>Learn more about Zscaler’s Future of Work strategy, hybrid working model, and benefits <a href="https://www.zscaler.com/careers">here</a>.By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">Know Your Rights: Workplace Discrimination is Illegal </a>link.Pay TransparencyZscaler complies with all applicable federal, state, and local pay transparency rules.Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.<h4>Experience Level</h4>Senior Level

Zscaler Softech

Data Annotation Engineer

Machine Learning Engineer II<h4>Overview</h4>Working at AtlassianAtlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.<h4>About JSM</h4><a href="https://www.atlassian.com/software/jira/service-management">Jira Service Management</a> (JSM) empowers Dev and Ops teams to collaborate at high-velocity, so they can respond to business changes and rapidly deliver fantastic service experiences to employees and customers. JSM empowers every team, from IT to HR to Legal, to quickly set up a service desk, continuously adapt to scale needs and deliver outstanding service experiences without the complexity of traditional ITSM solutions. By connecting Dev and Ops, JSM accelerates critical development work, eliminates toil, and tracks changes with ease, with a complete audit trail for every change. In short, it enables high-velocity ITSM.<h4>About the team</h4>Agent AI focuses on improving productivity of agents using AI who are working on resolving requests of help-seekers. There are multiple stages in lifecycle of agents - starting from identifying correct category of ticket to closure of tickets, automating all these stages with intervention of AI to assist agents in every possible way. We have our built-in AI engine that combines model based on NLP as well as generative AI to come up with innovative solutions to support agents in quicker resolution of requests.<h4>Responsibilities</h4>What you'll do<ul><li>5+ years of related industry experience in the ML domain</li><li>Expertise in Python or Java with and the ability to write performant production-quality code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)</li><li>Experience building and scaling machine learning models in business applications using large amounts of data</li><li>Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story</li><li>Focus on business practicality and the 80/20 rule; very high bar for output quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future"</li><li>Agile development mindset, appreciating the benefit of constant iteration and improvement</li></ul><h4>Qualifications</h4><h4>It's great, but not required, if you have</h4><ul><li>Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space</li><li>Experience in developing deep learning-based models and working on LLM-related applications</li><li>Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions</li></ul>Benefits &amp; PerksAtlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <a href="http://go.atlassian.com/perksandbenefits">go.atlassian.com/perksandbenefits</a>.About AtlassianAt Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.To learn more about our culture and hiring process, visit <a href="http://go.atlassian.com/crh">go.atlassian.com/crh</a>.<h4>Experience Level</h4>Mid Level

Atlassian India Llp

IN_Senior Associate_ AWS Data Engineer_D&A_Advisory_PAN IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:- Design and build data pipelines &amp; Data lakes to automate ingestion of structured and unstructured data that provide fast, optimized, and robust end-to-end solutions - Knowledge about the concepts of data lake and data warehouse - Experience working with AWS big data technologies - Improve the data quality and reliability of data pipelines through monitoring, validation and failure detection. - Deploy and configure components to production environments - Technology: Redshift, S3, AWS Glue, Lambda, SQL, PySpark, SQLMandatory skill sets:AWS Data EngineerPreferred skill sets:AWS Data EngineerYears of experience required:4-8Education qualification:B. Tech/MBA/MCA / M. TecEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData EngineeringOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

Cloud Engineer

IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Analytics . You have found the right team.As an Analytics Associate in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate advanced programming skills in Python; write complex SQL code and automate processes to source, transform, and analyze data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using analytics and visualization platforms such as QlikSense, Tableau, and Alteryx.</li><li>Create and leverage analytical approaches to analyze domain-specific source data, providing accurate conclusions and identifying improvement initiatives.</li><li>Communicate ideas and results to stakeholders and leadership clearly and concisely, showcasing excellent problem-solving abilities.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for business performance improvement.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet organizational business needs.</li></ul>Required qualifications, capabilities, and skills<ul><li>6+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 8+ years of exp. with Alteryx/ Python/ databricks to develop ETL pipelines</li><li>Experience building measures and metrics, and developing reporting dashboards </li><li>Strong grasp of big data disciplines, AWS, Agile (scrum) methodologies, and new technologies. Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency.</li><li>Experience in developing standardized solutions for data acquisition, transformation and analysis</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations that can be used to improve business performance. </li></ul> Preferred qualifications, capabilities, and skills<ul><li>Ability to drive projects end to end from requirement analysis, development, testing to closure</li></ul>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Senior Level

JP Morgan Services India Pvt Ltd

Analyst

Sr Software Engineer, Data Science<h4>Company Description</h4>LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.Creating economic opportunities for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.<h4>Job Description</h4>This role will be based in Bangalore, India.  At LinkedIn, our approach to flexible work is centred on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.  LinkedIn’s Data Science team leverages big data to empower business decisions. The Trust Data Science team at LinkedIn works in close partnership with the trust engineering, content moderator  and product teams to identify opportunities to develop and enhance LinkedIn member experiences. A few examples include: enabling our trust &amp; security team (content reviewers) to be effective through data driven insights and minimize damage to our members, optimize member account access experience while defending attacks, provide insights to improve feed content quality on site, analyze trust/security features’ performance through product A/B testing, etc.We are now looking for a talented and driven individual to accelerate our efforts and be a major part of our data-centric culture. This person will work closely with product managers, content moderation team, engineers, designers, product marketing, and the trust infrastructure team to develop and deliver tools or data structures that provide actionable recommendations to business partners. Successful candidates will exhibit technical acumen and business savvy, with a passion for making an impact by enabling both producers and consumers of data insight to work smarter.Responsibilities:<ul><li>Work with a team of high-performing analytics, data science professionals, and cross-functional teams to identify business opportunities, optimize product performance or go to market strategy</li><li>Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products</li><li>Performing all of the necessary data transformations to serve products that empower data-driven decision making</li><li>Establishing efficient design and programming patterns for engineers as well as for non-technical partners</li><li>Designing, integrating and documenting technical components for data flows or applications that perform analysis at a massive scale</li><li>Ensuring best practices and standards in our data ecosystem are shared across teams.</li><li>Understand the analytical objectives to make logical recommendations and drive informed actions</li><li>Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms</li><li>Initiate and drive projects to completion with minimal guidance</li><li>Contribute to engineering innovations that fuel LinkedIn’s vision and mission</li></ul><h4>Qualifications</h4><ul><li>Bachelor in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.</li><li>5+ years relevant industry or relevant academia experience working with large amounts of data</li><li>3 + years' experience with SQL/Relational databases</li><li>3 + years' experience with manipulating massive-scale structured and unstructured data.</li><li>Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.).</li><li>Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript)</li><li>Experience with data modelling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance.</li><li>Working knowledge of Unix and Unix-like systems, git and review board.</li></ul><h4>Additional Information</h4>Preferred Qualifications:<ul><li>Masters or Ph.D. degree in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc.</li><li>Bachelors with 5+ years or Masters with 3+ years of industry experience</li><li>Experience in developing data pipelines using Spark and Hive</li><li>Experience with either data workflows/modeling, front-end engineering, or back-end engineering</li><li>Experience in either the front-end or back-end development of data-powered applications. Suggested Skills:</li><li>Deep understanding of technical and functional designs for relational and MPP Databases, Reporting and Data Mining systems</li><li>Strong communication skills, with the ability to synthesize, simplify and explain complex problems to different audiences.</li><li>Experience working with databases that power APIs for front-end applications.</li><li>Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc.</li></ul>India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdfGlobal Data Privacy Notice for Job Candidates ​Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.<h4>Experience Level</h4>Senior Level

Linkedin Technology Information Pvt Ltd

Software Engineer 1

IN_Senior Associate_Databricks-- Data and Analytics_Advisory_Pan IndiaLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Responsibilities:We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. You’ll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog.Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. Develop high-performance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle. Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills:Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong hands-on skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance, RBAC, and data security standards. Preferred Qualifications: Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt. Exposure to streaming data and real-time processing. Knowledge of DevOps practices for data engineering.Mandatory skill sets:DatabricksPreferred skill sets:DatabricksYears of experience required:7-14 yearsEducation qualification:BE/BTECH, ME/MTECH, MBA, MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDatabricks PlatformOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 28 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

Data Engineer

Connect Coach - Data Scientist Associate Sr.You thrive on diversity and creativity, and we welcome individuals who share our vision of making a lasting impact. Your unique combination of design thinking and experience will help us achieve new heights. As a Data Scientist Associate at JPMorgan Chase within the Asset &amp; Wealth Management, you are part of an agile team that works to enhance, design, and deliver the data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As an emerging member of a data engineering team, you execute data solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role. Job responsibilities <ul><li>Collaborates with all of JPMorgan’s lines of business and functions to delivery software solutions. </li><li>Experiments, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact. </li><li>Designs and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result. </li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul> Required qualifications, capabilities, and skills <ul><li>Formal training or certification on Data Science concepts and 2+ years applied experience</li><li>Solid programming skills with Python/Java or other equivalent languages. </li><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. </li><li>Expert in at least one of the following areas: Natural Language Processing, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. </li><li>Knowledge of machine learning frameworks: Tensorflow/Pytorch </li><li>Knowledge of prompt engineering. Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB, Elastic. </li><li>Cloud Technologies: AWS/GCP/Azure, Kubernetes </li></ul>   <h4>Experience Level</h4>Mid Level

Data Scientist

Senior AI/ML Engineer IAbout ChubbChubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: <a href="http://www.chubb.com" rel="nofollow" target="_blank">www.chubb.com</a>.About Chubb IndiaAt Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. With a team of over 2500 talented professionals, we foster a startup mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.Position Details:<ul><li>Job Title: Senior AI/ML Engineer I</li><li>Location: Bengaluru</li><li>Employment Type: Full-time</li></ul>The Purpose of the roleChubb is seeking a highly skilled and experienced Deep Learning Engineer with Generative AI experience to develop and scale our Generative AI capabilities. The ideal candidate will be responsible for designing, finetuning and training large language models and developing Generative AI systems that can create and improve conversational abilities and decision-making skills of our machines.Responsibilities<ul><li>Develop and improve Generative AI systems to enable high quality decision making, to refine answers for queries, and to enhance automated communication capabilities.</li><li>Own the entire process of data collection, training, and deploying machine learning models.</li><li>Continuous research and implementation of cutting-edge techniques in deep learning, NLP and Generative AI to build state-of-the-art models.</li><li>Work closely with Data Scientists and other Machine Learning Engineers to design and implement end-to-end solutions.</li><li>Optimize and streamline deep learning training pipelines.</li><li>Develop performance metrics to track the efficiency and accuracy of deep learning models.</li></ul>Required knowledge, Skills and qualifications:<ul><li>Minimum of 4 years of industry experience in developing deep learning models with a focus on NLP and Generative AI.</li><li>Expertise in deep learning frameworks such as Tensorflow, PyTorch and Keras.</li><li>Experience working with cloud-based services such as Azure for training and deployment of deep learning models.</li><li>Experience with Hugging Face's Transformer libraries.</li><li>Expertise in developing and scaling Generative AI systems.</li><li>Experience in large dataset processing, including pre-processing, cleaning and normalization.</li><li>Proficient in programming languages such as Python and C++.</li><li>Experience with natural language processing (NLP) techniques and libraries.</li><li>Excellent analytical and problem-solving skills.</li></ul>Why Chubb?Join Chubb to be part of a leading global insurance company!Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.<ul><li>Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence</li><li>A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024 and 2024-2025</li><li>Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results</li><li>Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter</li><li>Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment</li></ul>Employee BenefitsOur company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:<ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.</li><li>Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.</li></ul>Application Process:Our recruitment process is designed to be transparent, and inclusive.<ul><li>Step 1: Submit your application via the Chubb Careers Portal.</li><li>Step 2: Engage with our recruitment team for an initial discussion.</li><li>Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).</li><li>Step 4: Final interaction with Chubb leadership. </li></ul>Join UsWith you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.<h4>Experience Level</h4>Senior Level

Chubb Group

Software EngineerAbout Chubb Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 40,000 people worldwide. Additional information can be found at: www.chubb.com. About Chubb India At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work® for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape. We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning. Position Details Job Title: Data Analyst Engineer Are you a passionate Data Analyst with a knack for analyzing application lifecycles and fostering a collaborative development environment? Do you have experience integrating security metrics throughout the CI/CD pipeline and relish the challenge of ensuring robust, resilient systems? If so, we want you on our team!You might know Chubb as the world’s largest publicly traded P&amp;C insurer, but we also built a market-leading insurtech from the ground up in only a few years, and we’re continuing our evolution.We're seeking a talented Data Analyst to join our team and play a pivotal role in optimizing our application delivery process through data-driven insights. You will be responsible for analyzing and interpreting data related to our CI/CD pipeline using industry-leading tools. You'll also champion a "shift left" security mindset, working closely with developers to ensure that quality and security metrics are embedded throughout the development lifecycle.In this role you will:<ul><li>Analyze and interpret complex data sets related to DevSecOps processes to identify trends, patterns, and insights.</li><li>Develop and implement automation solutions to streamline data collection, processing, and reporting.</li><li>Collaborate with DevOps teams to understand data flows and identify key metrics for performance monitoring, including DORA metrics, which will provide valuable data insights for assessing deployment frequency, lead time for changes, mean time to recover, and change failure rate.</li><li>Utilize statistical methods and predictive analytics to assess potential failure points and recommend improvements.</li><li>Create and maintain dashboards and reports to visualize data insights for stakeholders.</li><li>Work closely with cross-functional teams to ensure data integrity and accuracy throughout the SDLC.</li><li>Assist in the development of data models and algorithms to support decision-making processes.</li><li>Stay updated on industry trends and best practices in data analysis, DevOps, and automation.</li></ul>Location:This role will be based out of Hyderabad or Bangalore, India. Qualifications:<ul><li>Bachelor’s degree in data science, Computer Science, Information Technology, or a related field.</li><li>2-5 years of experience in data analysis or data engineering, preferably in a DevOps environment.</li><li>Strong understanding of DevOps principles and the Software Development Life Cycle (SDLC).</li><li>Proficiency in Python is important, and experience with the following libraries is good to have Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Statsmodels, Requests, Beautiful Soup, SQLAlchemy.</li><li>Experience with automation tools and frameworks (e.g., Jenkins, Ansible, Terraform).</li><li>Knowledge of statistical analysis and predictive modeling techniques.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.</li></ul>Bonus Points:<ul><li>Opportunity to work on challenging and impactful projects in a fast-paced environment.</li><li>Collaborate with a talented and passionate team.</li><li>Competitive salary and benefits package.</li></ul> If you are a Data Analyst who thrives in a collaborative environment and is passionate about analyzing and optimizing secure, efficient application delivery pipelines, we encourage you to apply! Why Chubb? Join Chubb to be part of a leading global insurance company!Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results. · Industry leader: Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence· A Great Place to work: Chubb India has been recognized as a Great Place to Work® for the years 2023-2024, 2024-2025 and 2025-2026· Laser focus on excellence: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results· Start-Up Culture: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter· Growth and success: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment Employee Benefits Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and careeradvancement programs, while fostering a supportive and inclusive work environment. Our benefits include: · Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances· Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.· Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits. Application Process Our recruitment process is designed to be transparent, and inclusive.· Step 1: Submit your application via the Chubb Careers Portal.· Step 2: Engage with our recruitment team for an initial discussion.· Step 3: Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).· Step 4: Final interaction with Chubb leadership. Join Us With you Chubb is better. Whether you are solving challenges on a global stage or creating innovative solutions for local markets, your contributions will help shape the future. If you value integrity, innovation, and inclusion, and are ready to make a difference, we invite you to be part of Chubb India’s journey.Apply Now: Chubb External CareersTBD<h4>Experience Level</h4>Mid Level

Assistant Vice President, Supply Chain Analytics!Assistant Vice President, Supply Chain Analytics!-ANA019307Ready to build the future with AI?  At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.  If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.  Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.  Inviting applications for the role of Assistant Vice President, Supply Chain Analytics! In this role, you will need to apply domain experience (supply chain), analytical skills to conceptualize and create and implement solution prototypes around Demand planning, forecasting/statistical modelling, demand allocation, DRP, MPS, Capacity Planning, Production Scheduling, Plant management, MRP, replenishment planning. You are expected to understand processes related to Demand forecast, Inventory Optimization, Supply Allocation and Sourcing, Replenishment Management, Production Scheduling, Capacity Management to provide best in class solutions, approach to solve problem revolving around these points. You will be expected to be focused on solving Supply planning problems for CPG / healthcare/ Consumer Electronics / Retail/Manufacturing/Hi-tech and various industries. Leading client conversations and engagements. Good project management and team leading skills. Good analytical planning tool knowledge. Experience in inter-team relationship management. Handling projects and client engagements. Experience in deals management.   Responsibilities •    Lead the SCM Analytics team wrt solutioning, delivery, managed services for Forecasting, Demand planning, Capacity Planning, Inventory management, Supply Planning, Logistics, Procurement •    Consulting w/ CPG/Life Science majors solving their Supply Chain business problems. •    Lead assessments / blueprinting / due diligence for prioritization problem statements, planning offshore ability, building solution architecture. •    Build PoVs, help structure POCs, is client front-ending, is a story-boarder, can respond to RFP/RFIs •    Work on Digital Transformation (data strategy incl orchestration, Governance, Architecture, BI to build reporting/insights/analytics factory) •    Design Analytical solutions around Demand Forecasting, Inventory Optimization, Network Planning, Capacity Planning, or other Supply Chain functional areas. •    Work closely with global client’s multiple cross functional team to identify business needs, requirements and prioritize needs •    Ensure Supply chain insight seamless risk-free transition &amp; set-up of off-shore operations. •    Drive business innovation strategy, transformational solutions in Supply Chain area •    Accountable for conceptualizing and delivering the complex supply chain analytics/digital project across functions.  •    Collaborate with clients/stakeholders to understand their supply chain vision/objectives/challenges and identify areas for improvement/interventions aligned with their long-term strategy. •    Regularly collaborate with Client partners and delivery team to identify opportunities for supply-chain related Growth and Transformation and support pre-sales. •    Drive business and technology solutions implementation (in supply chain space) under agreed transformation programs by analyzing data and benchmark performance metrics, make data-driven recommendations for continuous improvement. •    Single point of contact for all the escalations management Qualifications we seek in you! Minimum Qualifications / Skills •    Graduate in Operations Management, Supply Chain Management / Engineering / Business or related field  •    Understanding of applications related to Materials Requirement Planning, Distribution Resource Planning, Line Scheduling, Supply Network Design, Master Production and Scheduling, Capacity Planning, Transport Scheduling, Replenishment Planning required.Preferred Qualifications/ Skills •    Certifications like CPIM / CSCP •    Written and published whitepapers/ research papers around supply planning problems  •    In-depth knowledge of supply chain management principles and practices specific Manufacturing/Med-tech Domain •    A working knowledge of Life Science/Healthcare value chain and key drivers along with being well versed in Supply chain management •    In depth knowledge/understanding of supporting IT landscape in Supply chain  Why join Genpact?  •    Lead AI-first transformation – Build and scale AI solutions that redefine industries  •    Make an impact – Drive change for global enterprises and solve business challenges that matter  •    Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills  •    Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace  •    Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build  •    Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress  Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.   Let’s build tomorrow together.  Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.   Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.  <h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job</h4> Assistant Vice President<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Primary Location</h4> India-Bangalore<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Schedule</h4> Full-time<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Education Level</h4> Bachelor's / Graduation / Equivalent<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Job Posting</h4> Oct 18, 2025, 1:55:17 PM<h4 xmlns:ftl="http://www.taleo.net/ftl" xmlns:htm="http://www.w3.org/1999/xhtml" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">Unposting Date</h4> OngoingMaster Skills List OperationsJob Category Full Time<h4>Experience Level</h4>Executive Level

Genpact

Supply Chain Manager

Data Scientist Associate Senior- Connect CoachBe part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III at JPMorgan Chase within the Asset &amp; Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities <ul><li>Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions </li><li>Partnerships with peers in a geographically dispersed team and colleagues across organizational lines </li><li>Collaborates across JPMorgan AWM’s lines of business and functions to accelerate adoption of common AI capabilities </li><li>Designs and implement highly scalable and reliable data processing pipelines and deploy model inference services. </li><li>Deploys solutions into public cloud infrastructure </li><li>Experiments, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact </li></ul> Required qualifications, capabilities, and skills <ul><li>Formal training or certification on Data Science concepts and 3+ years applied experience</li><li>Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions </li><li>Solid Python programming skills required; with other high-performance language such as Go a big plus </li><li>Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes. </li><li>Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus </li><li>Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis) </li><li>Expertise in application, data, and infrastructure architecture disciplines </li><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. </li><li>Excellent communication skills and ability to communicate with senior technical and business partners </li></ul>Preferred qualifications, capabilities, and skills <ul><li>Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. </li><li>Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn </li><li>Understanding of finance or wealth management businesses is an added advantage </li></ul> JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

IN_Senior Associate_Data Modelling_Data and Analytics_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Job Description &amp; Summary: We are looking for a highly skilled and experienced Data Engineer with deep expertise in dbt Core, Jinja templating, and modern data warehousing (preferably Snowflake). The ideal candidate will have a strong understanding of data modeling, transformation pipelines, and dbt internals, including custom materializations and macros.Responsibilities:You will work on: · 5–10 years of experience in data engineering or analytics engineering roles. · Strong hands-on experience with dbt Core (not just dbt Cloud). Must have 2-3 years strong Hands-On on dbt Core · Deep understanding of dbt internals, including how dbt compiles SQL, manages state, and executes runs. · Proficiency in Jinja templating and writing custom macros. · Experience with custom materializations and advanced dbt configurations. · Solid understanding of data modeling concepts (star/snowflake schema, normalization/denormalization). · Proficient in SQL and performance tuning. · Familiarity with CI/CD practices and tools like dbt Cloud/CLI, Git, dbt artifacts, and dbt tests. · Experience working in agile teams and collaborating across functions.Mandatory skill sets:· dbt (Data Build Tool) · SQL · Data Modelling · Data Warehouse experiencePreferred skill sets:: · Airflow (Workflow Orchestration) · Python (Scripting, Data Manipulation) · CI/CD (Git, Jenkins, Azure DevOps, etc.) · PL/SQLYears of experience required:Experience: 5 – 10 YearsEducation qualification:BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ModelingOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Senior Level

Senior Data Quality ConsultantWe help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.    What you'll build You’ll be part of the ECS Data Quality Management (DQM) team which is responsible to keep the meta data of all ECS related Configuration Items (systems, servers, customer numbers) in various internal tool systems clean and to take care that the synchronization between those tool systems works smooth. The meta data is then used e.g. by automated procedures or reporting and is key for a scalable and smoothly running Operations. In your role as a Senior Data Quality Consultant, you will have touchpoints with several technical aspects of Data Quality.  The role includes the following:<ul><li>Various activities &amp; projects in regards to data quality (RCA, Fix the Future, Fix the Past, Monitor the Fix)</li><li>Feature requests and bug reporting to the development teams</li><li>Master Data standards definition and design in our internal tools (SPC, Plato, CCIR, DED, Atlas)</li><li>The definition of KPIs and Reporting</li><li>DQM Continuous Improvement</li></ul>In your day-to-day you will:<ul><li>Drive necessary process adjustments in case of data quality issues</li><li>Drive various data quality projects</li><li>Pattern analysis of data issues (errors, missing data)</li><li>3rd Level Support for DQM issues</li><li>Interaction with various development teams &amp; Process/Procedure Owners</li><li>The creation and tracking of development requirements until final implementation</li><li>The creation of development bug reports</li><li>The harmonization of KPIs along the Data Quality Management process</li></ul> What you bring <ul><li>Are you pro-active?</li><li>You have the ability to inspire others and convince them to see opportunities instead of problems?</li><li>You have strong problem analysis and resolution skills?</li><li>And your English is excellent</li></ul>If this sounds like you, do you also bring:<ul><li>Knowledge of SAP basis technologies, Network/Web technologies, LINUX based infrastructures, High Availability and Disaster Recovery</li><li>Background in Data Quality Management is a plus</li><li>Knowledge in ITIL and Project Management methodology is a plus</li><li>ABAP Development skills are a plus</li></ul> Where you belong SAP Enterprise Cloud Services (ECS) is building the bridge for SAP on premise customers towards the SAP Cloud. ECS Delivery is the operational organization and our XDU Delivery unit, of which you will be part, is responsible for many cross topics like Data Quality Mgmt, Process Mgmt, Security Mgmt, Application Monitoring and several other topics which are supporting the Operations.  Your team members and main stakeholders are located in India and Germany  Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 437972  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid <h4>Experience Level</h4>Senior Level

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