Enterprise Data & Analytics Engineer

Kenvue Inc.; Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Benefits offered by this job

Competitive Total Rewards Package

Paid Company Holidays

Paid Vacation

Volunteer Time

Learning & Development Opportunities

Employee Resource Groups

Job summary

Kenvue Inc. in Bengaluru, India, is seeking an Enterprise Data & Analytics Engineer to unify data from SAP and lifecycle systems with external signals to optimize production to shelf processes.

You will build scalable ETL/ELT pipelines on Azure Databricks, transform data with PySpark and SQL, and implement governance and quality checks. A 2–4 year background in data engineering and cloud architecture is expected.

Qualifications

• Bachelor’s degree in CS/DS or related field.
• 2–4 years of Python (PySpark) and SQL experience.
• Experience with Databricks, Delta Lake and Spark core.
• Exposure to ADLS Gen2, Azure Data Factory and Key Vault.
• Git used for CI/CD workflows.
• Familiar with agile development and cloud architecture.

Responsibilities

• Design and maintain scalable ETL/ELT pipelines using PySpark and Databricks.
• Ingest data into Azure Data Lake Storage (ADLS).
• Apply Delta Lake ACID transactions and time travel concepts.
• Configure and monitor data workflows with Azure Data Factory or Databricks Workflows.
• Implement data governance and Unity Catalog for secure data handling.
• Develop automated data quality checks (Delta Live Tables).
• Collaborate in an agile team to deliver end-to-end data solutions.

Skills

Python (PySpark)

SQL

Delta Lake

Azure Databricks

Azure Data Factory

Git / CI/CD

Agile development

Cloud architecture

Education

Bachelor’s degree in Computer Science, Data Science or related engineering field

Tools

Databricks Notebooks

Azure Data Factory

Azure Key Vault

Git for CI/CD

Job description

Enterprise Data & Analytics Engineer

We at Kenvue are dedicated to harnessing the power of everyday care. Built on over a century of heritage and rooted in science, we are the house of iconic brands including Neutrogena, Aveeno, Tylenol, Listerine, Johnson’s and BAND‑AID® Adhesive Bandages that you already know and love. Our global team of approximately 22,000 diverse and brilliant individuals is 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.

Reporting to: Sr Mgr CH SC Digital and Data Analytics

Location: Bangalore, India

Travel %: up to 10%

What you will do

The Data Engineer for Enterprise Data & Analytics role focuses on unifying complex, siloed data from internal ERPs such as 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, normalise, and aggregate raw data into analytics‑ready formats following the 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 cataloguing 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 of experience with proficiency in Python (PySpark) and SQL, essential for building distributed data‑processing logic.
• Databricks Ecosystem: Familiarity with Delta Lake (ACID transactions, time travel) and basic knowledge of Spark core architecture; experience with 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 optimising 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 and experience designing and building end‑to‑end solutions that meet business requirements while adhering 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 can vary based on location/region

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will provide more detail on the total rewards offerings and specific salary range during the recruitment & hiring process.

Кенвью является равноправным работодателем. Все квалифицированные кандидаты будут рассмотрены на основе бизнес‑потребностей, требований к должности и индивидуальных квалификаций, без учета рассы, цвета кожи, религии, пола, сексуальной ориентации, гендерной идентичности, возраста, национального происхождения, статусу вегетарианца или других защищённых законом характеристик, а также не будут подвергаться дискриминации из‑за инвалидности.

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