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IPB CLIENT SERVICE ANALYTICS - AssociateYou are a strategic thinker passionate about driving solutions in Client service analytics. You have found the right team.As a Client Analyst in our Finance team, you will spend each day defining, refining and delivering set goals for our firm. Job responsibilities:<ul><li>Demonstrate programming skills in Python and write complex SQL code to automate processes for sourcing, transforming, and analyzing data from multiple structured and unstructured sources.</li><li>Apply critical thinking and perform advanced analytics to solve complex, multi-faceted business problems using the firm’s 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 that lead to the identification of improvement initiatives.</li><li>Exhibit excellent problem-solving abilities and communicate ideas and results to stakeholders and leadership in a clear and concise manner.</li><li>Perform advanced quantitative and statistical analysis of large datasets to identify trends, patterns, and correlations for improving business performance.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions that meet business needs within the organization.</li></ul>Required qualifications, capabilities, and skills<ul><li>5+ years of working experience on analytical tools (Tableau/ Qliksense/  SQL)</li><li>At least 5+ 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>Mid Level

JP Morgan Services India Pvt Ltd

Client Service Executive

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

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

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

Data Annotation 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

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

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

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

IN_Senior Associate_Power BI Developer_D&A_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: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:Job Description: Proficiency with Microsoft Excel, Access, PowerPoint, PowerBI and SQL required. What you will deliver · Design and build Power BI reports and dashboards using DAX, Power Query (M), bookmarks, and drill-through features. · Should have strong experience in implementing semantic models using best practices. · Strong experience in Power BI Report Builder, Develop Paginated (RDL) reports. · Tune and optimize reports connected to On-prem / Cloud databases via DirectQuery, ensuring performance. · Manage and monitor Power BI Premium P1 capacity, including auto-scaling, memory usage, CPU load, and report cache strategies. · Monitoring / Troubleshooting on-premises data gateways and optimize connector settings. · Collaborate on report classification, and governance, including report lifecycle, naming conventions, RLS/OLS, and sensitivity labels. · Integrate Power BI with multiple systems and design unified models across sources. · Lead a team of visualization developers and participate in task planning and assignment. · Strong experience in Power BI report automation, and RPA solutions · Strong analytical and data preparation skills with expertise in storytelling through data · Proven experience in managing visualization and reporting services · Skilled in Report wireframing and designing Presentation of Data &amp; Analysis Format data in a clear and concise presentation that communicates and documents analysis findings. Present findings and recommendations to functional areas impacted by analysis. General Responsibilities · Analyzing Data or Information — Identifying the underlying principles, reasons, or facts of information by breaking down information or data into separate parts. · Contributing analyses to departmental groups and committees (including procurement) for presentation.· Organizing, Planning, and Prioritizing Work — Developing specific goals and plans to prioritize, organize, and accomplish your work. · Self-starting projects while generating workable and realistic timeframes to improve the productivity of projects to produce tangible results. · Establishing and Maintaining Interpersonal Relationships — Developing constructive and collaborative working relationships and maintaining them over time. · Spending time to align personal and professional development with experts in all areas of the business. Collectively supplying and recognizing the achievements and successes of others. Physical and Mental Skills and/or Abilities · Statistical &amp; Spreadsheet Proficiency — Using computers and computer systems to evaluate and process information, enter data and set up functions/queries. · Critical Thinking — Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. · Deductive Reasoning — The ability to apply general rules to specific problems to produce answers that make sense. · Inductive Reasoning — The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).Mandatory skill sets:‘Must have’ knowledge, skills and experiences MS Excel, Power BI, DAX, Data Modelling, SQLPreferred skill sets:‘Good to have’ knowledge, skills and experiences Statistical analysis, SAP AnalyticsYears of experience required:Experience and Qualifications · Proficiency in Microsoft Excel, Access, PowerPoint required; PowerBI and SQL preferred. · Experience Level: 6-9 years · Strong understanding of financial accounting terminology and ability to translate and analyze financial statements from multiple entities.Education qualification:o 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: Master of Engineering, Master of Business Administration, Bachelor of EngineeringDegrees/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

BI Developer

Process Mining Data AnalystAt Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signaling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars. Could you be the full-time Process mining Data specialist in our dynamic IS&amp;T organization we’re looking for?Your future role Step into a pivotal dynamic role and apply your data engineering expertise in the data-driven field of process mining. You’ll be part of a forward-thinking, collaborative team driving digital transformation across the Alstom. As a Process Mining Data specialist, you will be instrumental in enabling data-driven insights and execution management through advanced data integration and modeling. You’ll work closely with cross-functional teams including Manufacturing, Procurement, Supply Chain, Finance, Engineering leveraging Celonis to unlock process adoption and improvement. Your responsibilities will include designing and maintaining robust data pipelines, ensuring high-quality data availability, and supporting process transparency through technical enablement. Specifically, we’ll look to you for: - Connecting and transforming data from enterprise systems into Celonis- Designing scalable ETL/ELT pipelines and data models that reflect business processes- Monitoring data load performance, completeness, and consistency- Ensuring compliance with data governance and security standards- Supporting execution applications and automation flows- Collaborating with analysts and process owners to align technical delivery with business needs- Documenting and troubleshooting data integration and quality issues All about you We value passion and attitude over experience. While we don't expect you to have every single skill, we've listed some qualifications that will help you succeed and grow in this role:<ul><li>Degree in Data Engineering, Computer Science, Information Systems, or a related field</li><li>5+ years of experience in data engineering, preferably in a CoE or enterprise context.</li><li>3+ of hands-on experience with Celonis EMS and Process Mining</li><li>Strong experience in SAP data structures and integration</li><li>Proficiency in SQL and data transformation techniques</li><li>Familiarity with Celonis or other process mining platforms</li><li>Knowledge of Python or other scripting languages is a plus</li><li>Understanding of data privacy and governance principles</li><li>Excellent analytical and problem-solving skills</li><li>Strong communication skills and ability to work with diverse stakeholders</li><li>Curiosity and a continuous learning mindset</li></ul> Things you’ll enjoy Join us on a lifelong transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You'll also:<ul><li>Enjoy stability, challenges, and a long-term career free from boring daily routines</li><li>Collaborate with transverse teams and helpful colleagues</li><li>Contribute to innovative and visible projects</li><li>Utilize our flexible working environment</li><li>Steer your career in whatever direction you choose across functions and countries</li><li>Benefit from our investment in your development through award-winning learning</li><li>Progress towards leadership roles within our IS&amp;T function</li><li>Benefit from a fair and dynamic reward package that recognizes your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)</li></ul>You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you! Important to noteAs a global business, we’re an equal-opportunity employer that celebrates diversity across the 63  countries we operate in. We’re committed to creating an inclusive workplace for everyone.<h4>Experience Level</h4>Mid Level

Alstom Transport India Ltd

Senior Processing Analyst

ES Data Analytics Advisor
 About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.  We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about <a href="https://corporate.exxonmobil.com/About-us/Who-we-are">our What and our Why</a> and how we can <a href="https://corporate.exxonmobil.com/Sustainability/Sustainability-Report/Social/Investing-in-people">work together</a>.<h4>ExxonMobil’s affiliates in India</h4> ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region.  ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our <a href="https://corporate.exxonmobil.com/-/media/Global/Files/locations/India-operations/India-Community-Investment-Framework-2017.pdf?la=en&amp;hash=4AE0C8034FE15AE61C0C4B57DD13FB2C20EFA616">Corporate Responsibility Framework.</a> To know more about ExxonMobil in India, visit <a href="https://corporate.exxonmobil.com/Locations/India">ExxonMobil India</a> and the <a href="https://energyfactor.exxonmobil.asia/india/">Energy Factor India</a>.<h4>What role you will play in our team</h4>  The responsibilities of data analytics advisor include developing dashboards and recommending improvements in data collection. Strong communication skills are essential, as they must translate technical findings into clear recommendations for stakeholders. This role requires expertise in tools like SQL and data visualization platforms (Tableau , Power BI)  along with a solid foundation in business analytics.<h4>What you will do</h4>  <ul><li>Create interactive dashboards and visual analytics using tools such as Tableau and Power BI</li><li>Effective use of internal and external datasets through SQL and Enterprise data models. </li><li>Supports business stakeholders by identifying improvement opportunities, guiding users on analytics products. </li><li>Collaboration with IT and business teams to integrate systems</li><li>Design impactful data visualizations, with a strong focus on Tableau / Power BI</li><li>Guide users on analytics tools and products</li><li>Evaluate business requests to recommend optimal analytics solutions</li><li>Understand E&amp;PS functional areas and the metrics that drive the success</li></ul><h4>About You</h4>  Skills and Qualification: <ul><li>Expertise in Tableau / Power BI</li><li>Proficiency in SQL</li><li>Strong analytical thinking:</li><li>Capability to evaluate business requests</li><li>B.S. or equivalent work experience</li><li>Data &amp; Analytics Tools</li><li>Data Modeling &amp; Architecture</li><li>Awareness of data quality standards, validation techniques, and sustainable analytics practices</li><li>Visualization &amp; storytelling by builds dashboards</li><li>Maintan data quality &amp; governance </li></ul>  Preferred Qualifications / Experience: <ul><li>Certifications in Tableau, Power BI, or SQL</li><li>Strong presentation skills </li><li>Experience with cloud-based data platforms </li><li>Scrum proficiency</li><li>Professional certifications in Tableau, Power BI, SQL, or data science</li><li>Experience in stakeholder management across global teams and time zones</li><li>Workshop facilitation and training delivery for analytics tools and practices</li><li>Familiarity with cloud platforms for data storage and processing</li><li>Understanding of  Scrum methodologies for managing analytics projects  </li></ul><h4>Your benefits</h4> An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: <ul><li>Competitive compensation </li><li>Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits </li><li>Retirement benefits </li><li>Global networking &amp; cross-functional opportunities</li><li>Annual vacations &amp; holidays</li><li>Day care assistance program</li><li>Training and development program</li><li>Tuition assistance program</li><li>Workplace flexibility policy</li><li>Relocation program</li><li>Transportation facility</li></ul> Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines.  <h4>Stay connected with us</h4> <ul><li>Learn more about ExxonMobil in India, visit <a href="https://corporate.exxonmobil.com/Locations/India">ExxonMobil India</a> and <a href="https://energyfactor.exxonmobil.asia/india/">Energy Factor India</a><a href="https://energyfactor.exxonmobil.asia/india/">.</a></li><li>Follow us on <a href="https://www.linkedin.com/company/exxonmobil/mycompany/">LinkedIn</a> and <a href="https://instagram.com/exxonmobil?igshid=YmMyMTA2M2Y=">Instagram</a></li><li>Like us on <a href="https://www.facebook.com/ExxonMobil/">Facebook</a></li><li>Subscribe our channel at <a href="https://www.youtube.com/user/ExxonMobil">YouTube</a></li></ul><h4>EEO Statement</h4> ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.<h4>Business solicitation and recruiting scams</h4> ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the <a href="https://corporate.exxonmobil.com/About-us/Contact-us/Business-solicitation-and-recruiting-scams#Recruitingscams">LINK</a> to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.  Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.<h4>Experience Level</h4>Mid Level

ExxonMobil

Engineering Analyst, Trust and Safety Account and Device Intelligence<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree or equivalent practical experience.</li><li>2 years of experience in data analysis including identifying trends, generating summary statistics and drawing insights from quantitative and qualitative data.</li><li>2 years of experience in managing projects and defining project scope, goals, and deliverables.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree or PhD in Computer Science, Engineering, Mathematics, Physics or a related technical field.</li><li>Experience in data analysis and related tools and processes.</li><li>Experience in automating processes, developing LLM agents or applied AI.</li><li>Knowledge of cybersecurity, anti-fraud, network engineering, malware or artificial intelligence.</li><li>Excellent problem-solving and thinking skills with attention to detail in a changing environment.</li></ul><h4>About the job</h4>Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. Trust and Safety Account and Device Intelligence goal is to prevent damage to Google Users and Products through accounts by deploying upstream protections.At Google we work hard to earn our users’ trust every day. Trust &amp; Safety is Google’s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.<h4>Responsibilities</h4><ul><li>Build a new Artificial Intelligence (AI)-based capability leveraging the Transformers-based detection system to evolve and automate Incident Response, while generating threat intelligence that is related to protect Google accounts.</li><li>Transform and automate team processes by developing AI Agents. Automate operational workload like alert generation and incident analysis, using techniques derived from Machine Learning (ML), Large Language Model (LLMs), operations research.</li><li>Apply the threat intelligence to be ready to respond to new adversarial campaigns. Manage the response to incidents aiming Google Accounts, including the response in case of incidents.</li><li>Work together with the Operations team to scale the operational work required to protect Google accounts, such as managing low-severity escalations and alerts, and maintaining the quality.</li></ul><h4>Experience Level</h4>Mid Level

Google India Pvt Ltd

Graduate Engineering Trainee

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

Data EngineerRequired Skills &amp; Experience
•	4+ years of total experience, with 3+ years in data engineering and business intelligence.
•	4+ years of hands-on experience in Python and other open-source data engineering tools.
•	Strong expertise in data engineering, data handling, and statistical programming using modern IT tools.
•	Understanding of Data Warehousing, Business Intelligence, and ETL processes.
•	Proficiency and experience with Apache Spark and Big Data technologies (e.g., Hadoop, Hive).
•	Proven experience in Agile methodologies, including iterative development and sprint planning.
•	Experience working in highly regulated environments, ensuring data governance and compliance.
•	Familiarity with release governance processes and incident management tools (e.g., ServiceNow, JIRA).
•	Exposure to cloud platforms (AWS, Azure, GCP). Key Responsibilities
•	Lead end-to-end data engineering and reporting engagements, from requirement gathering to solution development.
•	Design and implement scalable data pipelines, data model, and process frameworks.
•	Collaborate with stakeholders, providing domain and technical thought.
•	Perform Fit/Gap analysis and translate business needs into actionable data solutions.
•	Develop interactive dashboards and reports using visualization tools or Python-based libraries.
•	Ensure data quality, governance, and compliance across reporting solutions.
•	Conduct performance tuning and optimization of data workflows and visualizations.
•	Ensure compliance with release governance and manage incidents using industry-standard tools.
•	Contribute to Unit/Organizational initiatives, including Centers of Excellence (COEs) and innovation programs.

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