Enterprise Data & Analytics Engineer

Job description

Kenvue is currently recruiting for a: Enterprise Data & Analytics Engineer What we do At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated.  We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here. Role reports to: Sr Mgr CH SC Digital and Data Analytics Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Fully Onsite What you will do Who we are At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND-AID® Brand Adhesive Bandages that you already know and love. Science is our passion; care is our talent. Our global team is made up of ~ 22,000 diverse and brilliant people, passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact the life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here. Role reports to: Manager, Data Products & Operations Location: Bangalore, India Travel %: up to 10%   What you will do  A Data Engineer for Enterprise Data & Analytics role focuses on unifying complex, siloed data from internal ERPs (like SAP) and Product Life Cycle Manager systems like Laboratory Information Systems with external retail signals (POS data, shipment tracking) to optimize every stage from production to the shelf.  Core Responsibilities • Pipeline Development: Design and maintain scalable ETL/ELT pipelines using Azure Databricks to ingest data into Azure Data Lake Storage (ADLS). • Data Transformation: Utilize PySpark and Spark SQL to clean, normalize, and aggregate raw data into "analytics-ready" formats (Medallion Architecture: Bronze, Silver, Gold layers). • Orchestration & Monitoring: Configure and monitor data workflows using Azure Data Factory or Databricks Workflows (Lakeflow Jobs) to ensure daily retail reports are delivered accurately and on time. • Governance & Security: Implement data access controls and cataloging using Unity Catalog to ensure secure and compliant data handling across the enterprise. • Quality Assurance: Develop automated data quality checks (e.g., using Delta Live Tables) to prevent inaccurate metrics reporting.  Technical Requirements • Education: Bachelor’s degree in Computer Science, Data Science, or a related engineering field. • Programming: 2 – 4 years work experience with proficiency in Python (PySpark) and SQL is essential for building distributed data processing logic. • Databricks Ecosystem: Familiarity with Delta Lake (ACID transactions, time travel) and basic knowledge of Spark core architecture (drivers, executors, tasks). Job clusters, Unity Catalog, Databricks Notebooks. • Azure Proficiency: Exposure to core Azure services, specifically ADLS Gen2, Azure Data Factory (ADF), and Key Vault. • Version Control: Exper