Enterprise Data & Analytics Engineer

Kenvue; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive Total Rewards Package

Paid Holidays & Vacation

Learning & Development

Job summary

Kenvue in Bangalore, India is seeking a Data Engineer to unify data from internal ERPs like SAP and PLM systems with external signals to optimize production to shelf.

You'll design ETL/ELT pipelines with Azure Databricks, use PySpark and SQL, and ensure governance with Unity Catalog while delivering daily retail reports. The role offers growth within a science-driven, global company with competitive rewards.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, or a related engineering field.
• 2–4 years of experience with Python (PySpark) and SQL.

Responsibilities

• Pipeline Development: Design and maintain scalable ETL/ELT pipelines using Azure Databricks to ingest data into ADLS.
• Data Transformation: Use PySpark and Spark SQL to clean, normalize, and aggregate data into analytics-ready formats (Medallion Architecture: Bronze, Silver, Gold).
• Orchestration & Monitoring: Configure data workflows using Azure Data Factory or Databricks Workflows to ensure daily retail reports.
• Governance & Security: Implement data access controls and cataloging with Unity Catalog.
• Quality Assurance: Develop automated data quality checks using Delta Live Tables.

Skills

Python programming

SQL

Agile

Education

Bachelor’s degree in CS/Data Science/related engineering

Tools

Azure Databricks

Delta Lake

Azure Data Factory

Unity Catalog

Databricks Notebooks

Git

Job description

What We Do

Kenvue realizes 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.

Reporting Manager

Manager, Data Products & Operations

Location

Bangalore, India

Travel

Up to 10%

What You Will Do

A Data Engineer for Enterprise Data & Analytics focuses on unifying complex, siloed data from internal ERPs like SAP and Product Life Cycle Manager systems such as 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 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). Experience with 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: Experience using Git for collaborative code development and CI/CD processes.
• Performance Tuning: Basic ability to identify bottlenecks in Spark jobs, such as optimizing joins for large‑scale transaction tables.
• Agile Development: Experience working in a collaborative agile environment.
• Cloud Architecture: Understanding of cloud architecture principles and best practices.
• Experience in the design and build of end‑to‑end solutions that meet business requirements and adhere to scalability, reliability, and security standards.

What’s In It For You

• Competitive Total Rewards Package*
• Paid Company Holidays, Paid Vacation, Volunteer Time & More!
• Learning & Development Opportunities
• Employee Resource Groups
• This list could vary based on location/region.

Equal Opportunity Employer

Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status, or any other legally protected characteristic, and will not be discriminated against on the basis of disability. If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.