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Sr. Data Scientist_MPIN<div itemprop="description"><section class="job-section" id="st-companyDescription"><div><h4 class="title">Company Description</h4></div><div class="wysiwyg">The Bosch Group is a leading global supplier of technology and services, in the areas of automotive technology, industrial technology, consumer goods, energy and building technology. As the largest auto component supplier in the country, setting a benchmark in the sectors it operates in, the company has to its credit several laurels.From a Bosch India perspective, we see a need to transform with new mind-sets - operating together with businesses, governments, and consumers- to imagine a future landscape focusing on efficient mobility concepts, clean energy needs, decentralized governance, convergence on connectivity etc. In an era of dynamic technological advancements, evolving consumer preferences, and shifting regulations, Bosch envisions a connected ecosystem within the shared economy that will shape the future of mobility.With a vision of accident-free and emission-free mobility, Bosch Mobility Platform and Services (MPS) is building an ecosystem of digital platforms and neutral e-commerce marketplaces. Our goal is to enable businesses to collaborate, innovate and co-create to solve complex problems of mobility in the realms of goods movement, people transportation, and parked vehicle ecosystem. </div></section><section class="job-section" id="st-jobDescription"><div><h4 class="title">Job Description</h4></div><div class="wysiwyg" itemprop="responsibilities">Role and Responsibilities <ul><li>Working with stake holders from different business units to identify the business opportunities for leveraging the data to drive business solutions.</li><li>Must have good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, discover the hidden patterns and viewing experiences to identify critical data insights.</li><li>Develop customized ML/AI algorithms for the customers so that they are suited 100% to the requirements</li><li>Develop reusable AI/GenAI/ML/Statistical models that can be scaled to multiple businesses with minimum customization.</li><li>Translate analytic insights into concrete, actionable recommendations for business or product improvement.</li><li>Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.</li><li>Independently handle the products/projects and provide technical directions to the other team members.</li><li>Develop dashboards using software like PowerBI to share algorithm results to end users</li><li>Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.</li><li>Technical directions to junior in team, like to sort the respective task for appropriate team members, mentoring them technically etc.</li></ul></div></section><section class="job-section" id="st-qualifications"><div><h4 class="title">Qualifications</h4></div><div class="wysiwyg" itemprop="qualifications">Masters from a reputed Indian institutes in the area of Statistics, Machine Learning, Computer Science, etc.</div></section><section class="job-section" id="st-additionalInformation"><div><h4 class="title">Additional Information</h4></div><div class="wysiwyg" itemprop="incentives">Technical SkillsMust Have<ul><li>Strong expertise in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch/TensorFlow/Keras). </li><li>Proven experience in classical ML algorithms — regression, classification, clustering, decision trees, random forests, SVMs, neural networks, etc.</li><li>Solid grounding in statistical analysis and hypothesis testing (DOE, forecasting, segmentation, uncertainty analysis, etc.).</li><li>Hands-on experience with data preprocessing, feature engineering, imputation, cleansing, transformation, and data exploration techniques (mean-variance, k-means, nearest neighbor, outlier detection, etc.).</li><li>Strong understanding of machine learning pipeline design, from data ingestion to model evaluation and deployment.</li><li>Experience with deep learning frameworks for solving applied problems (e.g., CNNs, RNNs, Transformers).</li><li>Experience working with NLP.</li><li>Exposure to AI/ML deployment on cloud platforms such as Azure or AWS.</li><li>Working knowledge of Docker, CI/CD pipelines, and API development (Flask/Django).</li><li>Experience developing dashboards or reports in Power BI or similar tools.</li><li>Experience mentoring and providing technical direction to team members.</li></ul>Nice to Have<ul><li>Experience with LLM-based and GenAI solutions, including:<ul><li>RAG, Agentic RAG, Graph RAG, Chain/Tree of Thoughts, LangChain, content extraction/summarization, and chat applications.</li></ul></li><li>Applied experience in Computer Vision (object detection, defect detection, OCR, etc.).</li><li>Domain expertise in one or more of:<ul><li>Supply Chain Analytics – inventory optimization, demand forecasting.</li><li>Sales Analytics – recommendation systems, customer segmentation, price elasticity.</li><li>Manufacturing Analytics – root cause analysis, scrap reduction, cycle time reduction, warranty analytics.</li></ul></li></ul>Soft Skills<ul><li>Excellent communication and storytelling skills — able to translate data insights into clear, business-focused narratives.</li><li>Strong stakeholder management and collaboration abilities across diverse teams.</li><li>Ability to work independently on complex projects while guiding and developing others.</li></ul> </div></section></div>

Robert Bosch Engineering and Business Solutions Pvt Ltd

Data Scientist

Azure Big Data Engineer- Role: Azure Big Data Engineer
- Location: Bengaluru
- This position involves working with Azure technologies to manage and analyze large datasets.
- Candidates should have a strong understanding of big data frameworks and cloud computing.
- Responsibilities may include designing data pipelines, optimizing data storage, and ensuring data quality.
- Ideal candidates will have experience in data engineering and familiarity with Azure services.
- Collaboration with cross-functional teams is essential to meet project goals.

Cloud Automation Engineer

Business Intelligence AdvisorReq ID: 339160 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Business Intelligence Advisor to join our team in Bangalore, Karnātaka (IN-KA), India (IN).Job Description: Databricks ArchitectPosition Overview We are seeking an experienced Databricks Architect to lead the design, implementation, and optimization of our data and analytics ecosystem on the Databricks platform. The ideal candidate will have deep expertise in cloud data engineering, big data processing, advanced analytics, and modern data architecture. This role will be responsible for defining architectural standards, ensuring scalability, and enabling advanced data-driven decision-making across the organization.Key Responsibilities: Architecture &amp; Design * Design end-to-end scalable data solutions using Databricks, Delta Lake, and Spark. * Define standards, best practices, and governance frameworks for Databricks implementations. * Architect real-time, near-real-time, and batch data pipelines for structured, semi-structured, and unstructured data. Data Engineering &amp; Development * Build and optimize ETL/ELT pipelines using Databricks, Spark, Python/Scala, and SQL. * Implement data quality, lineage, and observability frameworks. * Develop and maintain reusable templates, components, and accelerators. Cloud Integration * Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and their native services (e.g., Azure Data Lake, AWS S3, BigQuery, etc.). * Ensure proper security, authentication, and role-based access control in Databricks. * Collaborate with DevOps teams to establish CI/CD pipelines for Databricks workflows. Leadership &amp; Collaboration * Partner with data scientists, analysts, and business stakeholders to understand use cases and design optimal solutions. * Mentor and guide data engineers on Databricks best practices and performance tuning. * Act as the subject matter expert for Databricks within the organization. Required Qualifications: * 8+ years of experience in data engineering, big data, or cloud data platforms. * Proven expertise in Databricks, Apache Spark, and Delta Lake. * Strong programming skills in Python, SQL, and/or Scala. * Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP). * Strong understanding of data modeling, lakehouse architecture, and distributed systems. * Experience with data governance, data security, and compliance practices. * Excellent problem-solving, communication, and leadership skills.Preferred Qualifications:* Databricks Certified Data Engineer Professional or Certified Solutions Architect certification. * Knowledge of BI and reporting tools (Power BI, Tableau, Looker, etc.). * Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow, etc.). * Experience in leading the enterprise-scale data architecture initiatives. * Exposure to cutting-edge technologies in cloud and analytics.About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Full-stack Developer

Software Engineering MTSTo get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySoftware EngineeringJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.Job Description: As a Senior Data Analyst on the Strategy &amp; Operations team, you will be a critical partner to our Strategy and Delivery organizations. You will be responsible for designing, building, and maintaining the foundational datasets and reporting that drive our business forward. This role requires a deep understanding of data modeling and a passion for turning complex data into actionable insights. You will be instrumental in developing robust, scalable data solutions in Snowflake and creating compelling visualizations and dashboards in Tableau and CRMA. Your Impact:<ul><li>Partner closely with Strategy and Delivery stakeholders to understand their analytical needs and translate them into technical requirements.</li><li>Design, build, and optimize data models and ETL processes in Snowflake to support a wide range of analytical and reporting needs.</li><li>Develop and maintain insightful and user-friendly dashboards and reports in Tableau and CRMA to track key performance indicators and provide actionable insights.</li><li>Serve as a subject matter expert on our data and analytics platforms, providing guidance and support to other team members and stakeholders.</li><li>Ensure the accuracy, completeness, and timeliness of our data by implementing data quality checks and validation processes.</li><li>Work with internal customers to understand their needs and author and define implementation plans and functional specifications that solve those needs.</li></ul>Minimum Requirements:<ul><li>BS in Computer Science, Economics, Statistics, Applied Mathematics, or a similar data-focused area, or equivalent experience.</li><li>5+ years of experience in a data analyst, business intelligence, or a similar role.</li><li>Expert-level proficiency in SQL for querying and transforming large, complex datasets.</li><li>Expert-level proficiency in Tableau for building dashboards and data visualizations.</li><li>Strong understanding of data warehousing concepts, data modeling, and ETL processes.</li><li>Excellent problem-solving skills and the ability to work independently to drive projects from ideation to completion.</li></ul>Preferred Requirements:<ul><li>Experience with Snowflake data warehousing.</li><li>Experience with Salesforce CRMA (formerly Tableau CRM).</li><li>Familiarity with the Salesforce data model and ecosystem.</li><li>Strong communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.</li><li>Collaborative with the ability to manage complex projects from start to finish and work effectively across internal functional teams.</li></ul>Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you require assistance due to a disability applying for open positions please submit a request via this <a href="https://careers.mail.salesforce.com/accommodations-request-form" rel="noopener noreferrer" target="_blank">Accommodations Request Form</a>.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. <a href="https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal" rel="noopener noreferrer" target="_blank">Know your rights: workplace discrimination is illegal.</a> Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.<h4>Experience Level</h4>Mid Level

Salesforce.com India Pvt Ltd

Data Analyst

IN_Associate_Azure _D&A _Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.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:Job Description (JD) tailored for a Data Engineering role focused on Azure Databricks / ADF / Synapse, with strong emphasis on Python, SQL, Data Lake, and Data Warehouse:Job Summary:We are looking for a skilled and experienced Data Engineer with 5–8 years of experience in building scalable data solutions on the Microsoft Azure ecosystem. The ideal candidate must have strong hands-on experience with Azure Databricks, Azure Data Factory (ADF), or Azure Synapse Analytics, along with Python and SQL expertise. Familiarity with Data Lake, Data Warehouse concepts, and end-to-end data pipelines is essential.Responsibilities:· Design, develop, and maintain scalable data pipelines using Azure data services such as Azure Data Factory and Apache Spark.· Implement efficient Extract, Transform, Load (ETL) processes to move and transform data across various sources.· Design, develop, and maintain data solutions using Azure Synapse Analytics.· Implement data ingestion, transformation, and extraction processes using Azure Synapse Pipelines.· Knowledge about data warehousing concepts· Utilize Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other Azure data services to store and retrieve data.· Performance optimization and troubleshooting capabilities· Advanced SQL knowledge, capable to write optimized queries for faster data workflows.· Proven work experience in Spark, Python, SQL, Any RDBMS.· Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS· Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.Required Skills:· 4–8 years of experience in Data Engineering or related roles.· Hands-on experience in ADF, or Synapse Analytics· Proficiency in Python for data processing and scripting.· Strong command over SQL – writing complex queries, performance tuning, etc.· Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas).· Understanding CI/CD practices in a data engineering context.· Excellent problem-solving and communication skills.Good to Have:· Experienced in Delta Lake, Power BI, or Azure DevOps.· Knowledge of Databricks will be a plus· Knowledge of Spark, Scala, or other distributed processing frameworks.· Exposure to BI tools like Power BI, Tableau, or Looker.· Familiarity with data security and compliance in the cloud.· Experience in leading a development team.Mandatory skill sets:Data Modelling, IICS/any leading ETL tool, SQLPreferred skill sets:PythonYears of experience required:7 – 10 yrsEducation qualification:Btech/MBA/MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData ModelingOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis, Intellectual Curiosity, Java (Programming Language), Market Development {+ 11 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

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Programmer Analyst Trainee

GTM Product architect / Business Systems Analyst<h4>Job Summary</h4>You will be part of Enterprise Data &amp; Analytics team responsible for identifying analytical needs, exploring new technologies, and applying data sciences/machine learning concepts to maximize value from data assets.  Senior Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions.  The individual must have an in-depth understanding of the business environment, an interest in going beyond the obvious, aptitude for new tools/technologies, and obsession for customer success<h4>Job Requirements</h4>•    Must possess strong subject matter expertise in at least two domains of Sales, Marketing, Install Base, Finance, and Customer Support areas.  •    Demonstrated ability to have completed multiple, complex technical projects •    Hands-on experience in SQL, RESTful APIs, and other related standards. Python, No SQL is nice to have •    Hands-on emphasis with a proven track record of building and evaluating data pipes, and delivering systems for final production •    Must have strong data orientation and keen aptitude to explore innovative ways to analyze data •    Knowledge of various development methodologies, including waterfall and agile/scrum.   •    Experience with various data systems like Oracle Data Warehouse, Snowflake, HVR, Informatica IICS •    Experience with various visualization tools like Tableau, PBI •    Experience in all phases of a Software Development Life Cycle.  Well versed in different project life cycle management methodologies – Waterfall and Agile.  •    Experience working with IT delivery teams on complex projects.   •    Ability to work collaboratively and take a lead role, as needed, within a team of other business systems analysts and cross functional peers to support deadlines.   •    Ability to handle multiple tasks concurrently.   •    Limited supervision and direction is provided, as this individual can operate and drive results and set priorities independently.   •    The ideal candidate will be a proactive contributor and subject matter expert.   •    To be successful, this individual must demonstrate favorable results through regular leadership and influencing others. •    Strong written and verbal communication skills •    Excellent problem solving and troubleshooting skills<h4>Education</h4>•    A minimum of 8 years of experience is required, including 6+ years solid relevant experience in Business Analytics. •    Bachelor of Science Degree in Computer Science, Management Information Systems, or Business, or related field is required<h4>Experience Level</h4>Senior Level

NetApp India Pvt Ltd

Application Development Analyst

Staff Software Engineer, Data Science<h4>Company Description</h4>LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.<h4>Job Description</h4>At LinkedIn, our approach to flexible work is centered 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 and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetisation efforts. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. 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 various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter. Responsibilities: - Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. - Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products. - Perform all of the necessary data transformations to serve products that empower data-driven decision making. - Establish efficient design and programming patterns for engineers as well as for non-technical partners. - Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale. - Ensure best practices and standards in our data ecosystem are shared across teams. - Understand the analytical objectives to make logical recommendations and drive informed actions. - Engage with internal data platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. - Contribute to engineering innovations that fuel LinkedIn’s vision and mission.<h4>Qualifications</h4>Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc - 8+ years of relevant industry or relevant academia experience working with large amounts of data - Experience with SQL/Relational databases - Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP, JavaScript) Preferred Qualifications: - BS and 10+ years of relevant work experience, MS and 9+ years of relevant work experience, or Ph.D. - Experience in developing data pipelines using Spark and Hive. - Experience with data modeling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance. - Experience in either the front-end or back-end development of data-powered applications. - Deep understanding of technical and functional designs for relational and MPP Databases, - Reporting and Data Mining systems. - Experience working in the product, sales, or marketing analytics domains. - Experience in data visualisation and dashboard design including tools such as Tableau, R visualisation packages, D3, and other JavaScript libraries, etc. - Published work in academic conferences or industry circles Suggested Skills : Data Pipeline Data Engineering Data ManipulationYou will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.<h4>Additional Information</h4>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

Senior Software Engineer, Data Science<h4>Company Description</h4>LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.<h4>Job Description</h4>At LinkedIn, our approach to flexible work is centered 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 and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. With over 800 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, LinkedIn offers countless ways for an ambitious data engineer to have an impact and transform your career. 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 various cross-functional teams such as product, marketing, sales, engineering, and operations to develop infrastructure and deliver tools or data structures that enable data-driven decision-making. Successful candidates will exhibit technical acumen and business savviness with a passion for making an impact by enabling both producers and consumers of data insight to work smarter. Responsibilities: - Work with a team of high-performing data science professionals, and cross-functional teams to identify business opportunities and build scalable data solutions. - Build data expertise, act like an owner for the company and manage complex data systems for a product or a group of products. - Perform all of the necessary data transformations to serve products that empower data-driven decision making. - Build and manage data pipelines, design and architect databases. - Establish efficient design and programming patterns for engineers as well as for non-technical partners. - Design, implement, integrate and document performant systems or components for data flows or applications that power analysis at a massive scale. - Ensure best practices and standards in our data ecosystem are shared across teams. - Understand the analytical objectives to make logical recommendations and drive informed actions. - Engage with internal platform teams to prototype and validate tools developed in-house to derive insight from very large datasets or automate complex algorithms. - Be a self-starter, Initiate and drive projects to completion with minimal guidance. - Contribute to engineering innovations that fuel LinkedIn’s vision and mission.<h4>Qualifications</h4>Basic Qualifications: - Bachelor's Degree in a quantitative discipline: Computer science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics, Economics, etc. - 5+ years of relevant industry or relevant academia experience working with large amounts of data - Experience with SQL/Relational databases - Background in at least one programming languages (e.g., R, Python, Java, Scala, PHP) Preferred Qualifications: - Experience working with large amounts of data - MS or PhD in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, etc. - Experience in developing data pipelines using Spark and Hive. - Experience with data modeling, ETL (Extraction, Transformation &amp; Load) concepts, and patterns for efficient data governance.Experience with manipulating massive-scale structured and unstructured data. - Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.). - Experience with either data workflows/modeling, front-end engineering, or back-end engineering. - Deep understanding of technical and functional designs for relational and MPP Databases - Experience in data visualization and dashboard design including tools such as Tableau, R visualization packages, D3, and other Javascript libraries, etc. - Knowledge of Unix and Unix-like systems, git and review board. Suggested Skills: - Java - Data Pipeline - ETL - Data Manipulation You will Benefit from our Culture: We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.<h4>Additional Information</h4>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

Senior Software Engineer

Vice President – Data Science / Applied AI MLJob Summary: J.P. Morgan Compliance, Conduct, and Operational Risk (CCOR) Data Science function is at the forefront of developing innovative AI and ML solutions to enhance risk management and compliance processes. Our team leverages advanced analytics, AI, Machine learning technologies, including Large Language Models (LLMs), to transform how we manage compliance, conduct, and operational risks across the organization. Join our CCOR Data Science team as a Lead Data Scientist, where you will play a crucial role in developing AI/ML solutions to enhance compliance and risk management. Your primary responsibilities will include leveraging advance AI / ML techniques, LLMs and Agentic AI to develop and deploy models for various tasks such as anomaly detection, risk assessment, and compliance monitoring. You will work with diverse datasets to improve our risk management processes and ensure regulatory compliance. As part of a leading analytics community, you will have opportunities for skill development and career growth in AI, machine learning, and data science. Job responsibilities:<ul><li>Design, deploy, and manage AI/ML models, leverages advance AI/ML techniques, LLMs and Agentic AI for developing compliance and risk management related solution.</li><li>Conduct research on AI techniques to enhance model performance in the compliance and risk domains.</li><li>Collaborate with cross-functional teams to identify requirements, develop solutions, and deploy models in the production system.</li><li>Communicate technical concepts effectively to both technical and non-technical stakeholders.</li><li>Develop and maintain tools and frameworks for model training, evaluation, and optimization.</li><li>Analyze and interpret data to evaluate model performance and identify areas for improvement.</li></ul>Required qualifications, capabilities, and skills:<ul><li>Master’s degree in quantitative discipline or an MBA with an undergraduate degree in areas such as Computer Science, Statistics, Economics, Mathematics etc. from top tier Universities. </li><li>Minimum of 8 years of relevant experience in developing AI/ML solutions, with recent exposure to LLMs and Agentic AI.</li><li>Programming skills in Python, with experience in frameworks like PyTorch or TensorFlow.</li><li>Thorough knowledge of machine learning concepts, including transformers and language modeling.</li><li>Experience in data pre-processing, feature engineering, and data analysis.</li><li>Excellent problem-solving skills and the ability to communicate ideas and results clearly.</li><li>Familiarity with data structures and algorithms for effective problem-solving in machine learning workflows.</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>Executive Level

JP Morgan Services India Pvt Ltd

SQL + Excel+ Power BI + Retail domain 4 yrs exp - Bangalore Assistant Manager-Analytics<h4>Company Description</h4>WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.<h4>Job Description</h4>Job SummaryBe a part of the offshore team supporting the analytics team of a global retailer.Develop an understanding of the client’s business environment and support them in the execution of their analytics strategies for loyalty, campaign management, promotional cards business and any other dimensions for which there is a need. This will be primarily a hands-on role with freedom to weave your own design thinking, business understanding, and technology skill-sets together to build analytical solutionsResponsibilities &amp; DutiesSupport in understanding customer business models and data to contribute to analytical and reporting needs.Collaborate with team leads and client stakeholders to gather business requirements and assist in developing actionable insights.Develop a comprehensive understanding of customer data sets to build optimized SQL programs that can pull the right data and create tables to build relevant views on dashboardsDevelop and maintain dashboards, data extracts, and workflow automations using tools like PowerBI/Tableau and scripting languages (e.g., Python).Support the team in applying predictive models or basic statistical techniques under supervision.Participate in discussions and brainstorming sessions, documenting business requirements and preparing preliminary analyses.Translate data into easy-to-understand visualizations and reports using appropriate storytelling techniques.Contribute to idea generation for improving client deliverables and internal efficiency.Qualifications &amp; SkillsExperience working with Power BI is preferredStrong working knowledge of SQL and Excel.Exposure to data science tools or concepts (R, Python, Statistics) is a plus.Good communication skills and willingness to engage with stakeholders.Ability to manage timelines and prioritize tasks in a fast-paced environment.<h4>Qualifications</h4>Graduate<h4>Experience Level</h4>Mid Level

WNS Global Services Pvt Ltd

Assistant Manager MIS

Sr Machine Learning EngineerThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:• Strong proficiency in Python for data analysis, machine learning, and automation. • Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures). • Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions. • Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar. • Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows. • Ability to work cross-functionally with engineering, product, compliance, and operations teams. Proven track record of translating complex ML insights into business actions or policy decisions.Job Description:Essential Responsibilities: <ul><li>Develop and optimize machine learning models for various applications.</li><li>Preprocess and analyze large datasets to extract meaningful insights.</li><li>Deploy ML solutions into production environments using appropriate tools and frameworks.</li><li>Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>Monitor and evaluate the performance of deployed models.</li></ul>Minimum Qualifications:<ul><li>Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.</li><li>Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li><li>Several years of experience in designing, implementing, and deploying machine learning models.</li></ul>Preferred Qualification:Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

Paypal India Pvt Ltd

Data Annotation Engineer

Senior Reporting EngineeriGaming: If it’s iGaming, we know a thing or two. At Light &amp; Wonder, It’s all about the games, and our digital team leads the global iGaming market, providing jaw-dropping content and innovative software that powers the world's most successful online gaming providers.Position SummaryAbout CompanyLight &amp; Wonder is a global leader in game experiences. We create content, hardware and systems that connect iconic titles across any place or channel. By turning games into expansive entertainment, we keep thrilling players with characters and stories they can’t get enough of.Light &amp; Wonder, Inc. is the leading cross-platform global games company. Through our three unique, yet highly complementary business segments, we deliver unforgettable experiences by combining the exceptional talents of our 6,500+ member team, with a deep understanding of our customers and players. We create immersive content that forges lasting connections with players, wherever they choose to engage. At Light &amp; Wonder, it’s all about the games. The Company is committed to the highest standards of integrity, from promoting player responsibility to implementing sustainable practices. To learn more visit <a href="http://www.lnw.com/" rel="noopener noreferrer" target="_blank">www.lnw.com</a>. We are committed to offering very competitive benefits that are aligned with our values and inspire employees to drive innovation and contribute to the organization’s performance. Employees are the most valued resource, and we always look to improve their well-being with a wide range of benefits befitting every individual. Not limited to monetary benefits, we have robust learning and development opportunities that help them to grow professionally.Our Values<ul><li>Dare to be bold: We combine diverse talent to look at the familiar in unfamiliar ways.</li><li>Celebrate perspectives - We combine diverse talent to look at the familiar in unfamiliar ways</li><li>Never settle: We relentlessly push forward to create the extraordinary in every detail.</li><li>Uphold integrity: We promote accountability and respect to raise the bar for ourselves and the industry.</li><li>Win as a team: We bring out the best in each other to share collective success.</li></ul><h4>Senior BI/Reporting Engineer</h4>Job DescriptionThe Data and Insights team is looking for a talented candidate to focus on the growing reporting needs of the business. Externalizing effectively data insights to stakeholders is a key component of our team’s work. It is the final step of the data journey and the point of interaction with our stakeholders. You will contribute to achieving effective reporting, as the final integral step that presents our hard work at the data engineering backend, and which adds great business value.Key Responsibilities· Collaborate with business stakeholders to gather and document reporting requirements.· Design Reports by data modeling, transformation and relationships in Power BI.· Develop, and deploy business intelligence solutions using Power BI tools (Power Query, DAX, Power BI Service).· Create dashboards, visualizations, and reports that translate data into meaningful insights.· Ensure performance, and clarity in report outputs; resolve reporting issues. Perform data validation and reconciliation to ensure report accuracy· Automate data refresh schedules and manage access controls on Power BI reports.· Work with relational databases (e.g., SQL Server, Oracle DB etc.) to extract, clean, and integrate data.· Maintain clear documentation on solutions and provide user training and support as needed.· Stay informed on BI/reporting trends and propose improvements where relevant.Technical QualificationsEssential· Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, or a related field.· Minimum 3 years of hands-on experience with Power BI in a business intelligence or reporting role.· Strong knowledge of DAX, Power Query, and Power BI Service (publishing and sharing reports).· Exposure in data modeling, ETL processes, and working with relational databases (writing SQL queries).· Understanding of data warehousing concepts and data governance best practices.Desirable· Exposure to other BI tools (e.g., Tableau, Qlik, Looker etc)· Exposure to other Power Platform (e.g. Power Automate, Power Apps etc).· Familiarity with scripting languages (eg. Python)Skills· Fluency in English (written and spoken) is a must.· Strong analytical skills· Excellent communication skills, both verbal and written, and ability to work collaboratively with cross-functional teams.· Strong attention to detail and ability to maintain accuracy in a fast-paced environment.· Willingness to learn and stay up to date with emerging trends and technologies in data engineering.Qualifications<h4>Experience Level</h4>Senior Level

Light & Wonder India

Associate Engineer

IN-Manager_Data Engineer _Data and Analytics _Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*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:About the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across modern data platforms. If you love writing clean code, solving tough data problems, and automating workflows, this role is for you. What you will do: · Build and manage high-performance data pipelines for batch and near real-time use cases · Write optimized, complex SQL queries and stored procedures for analytics and reporting · Develop modular Python scripts for automation, file processing, and data transformation using Pandas/NumPy · Optimize queries and scripts over large-scale datasets (TBs) with a focus on speed and efficiency · Build versioned, testable data models using DBT · Orchestrate multi-step workflows with Apache Airflow · Collaborate across teams to convert data needs into robust technical solutionsMandatory skill sets:‘Must have’ knowledge, skills and experiences · 5+ years of hands-on experience in Data Engineering · Strong command over SQL and Python, especially for transformation and automation · Deep experience with DBT and Airflow in production environments · Solid understanding of ETL/ELT, data modeling, and pipeline performance tuning · Strong analytical thinking and debugging skillsPreferred skill sets:‘Good to have’ knowledge, skills and experiences · Experience with Teradata and Starburst (Presto/Trino) · Familiarity with cloud platforms (Azure/GCP/Snowflake) · Exposure to on-prem to cloud data migrations · Knowledge of Git-based workflows and CI/CD pipelinesYears of experience required:Experience · 5-8 yearsEducation 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: Bachelor of Engineering, Master of Business Administration, Bachelor of Technology, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsData Engineering, Python (Programming Language), Structured Query Language (SQL)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, 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 {+ 32 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>Mid Level

Data Engineer

Data AnalystJOB TITLE: Data AnalystJOB FUNCTION:  R&amp;DSCOPE: GlobalWORK LOCATION: Unilever Research India – R&amp;D Bangalore, Whitefield ABOUT UNILEVER With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future. CATEGORY OR FUNCTION INTRODUCTION:Home Care is a global business with leading household cleaning and laundry brands such as OMO, Sunlight and Comfort. Our aim is to offer products that are unmissably superior, sustainable and great value.We are organised to deliver growth and margin across our core formats. While we have a portfolio of strong global brands, and a global geographical footprint, our strength is in emerging markets where we lead the industry through market development.Within R&amp;D, our team of world-leading scientists, researchers and professionals creates innovations that drive growth for our business and deliver positive impacts for people, society and our planet.JOB PURPOSE The purpose of this role is to make a stronger pillar in digital for data capture as a future requirement. Unilever has opted for various data capture tools and are active for users across functions.WHAT WILL YOUR MAIN RESPONSIBILITIES BE<ul><li>Convert non-technical requirements of lab testing procedures in technical and build digital templates in the R&amp;D recommended tools such as LIMS (Unilever), ELN etc for Formulation, Stability, Processing and Packaging, working alongside with R&amp;D SMEs</li><li>Demonstrate LIMS functionalities for creating requests, batches for Lab, pilot trails and MPT/ 3P as well as for Material and Inventory management modules</li><li>Build digital visualization solutions to demonstrate power of data in R&amp;D</li><li>Support R&amp;D in building scope of their digital data capture projects and in upskilling knowledge.</li></ul>WHAT YOU NEED TO SUCCEEDExperiences &amp; Qualifications<ul><li>Bachelor’s or master’s degree in STEM subject (Science / Engineering) </li><li>Minimum 2-3 years of working experience in the field of data handling and processing.</li></ul><ul><li>Knowing / working experience in LIMS, ELN systems would be reasonable.</li></ul>Skills<ul><li>Innovative</li><li>Managing stakeholders. Should be able to translate non -tech requirements to technical</li><li>Power BI working knowledge is plus.</li></ul>Our commitment to Equality, Diversity &amp; Inclusion Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.  "All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent—please verify before proceeding."<h4>Experience Level</h4>Mid Level

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