Enterprise Data & Analytics Engineer

Enterprise Data & Analytics Engineer

Ce que nous faisons

Chez Kenvue, nous réalisons le pouvoir extraordinaire des soins quotidiens. S'appuyant sur plus d'un siècle d'héritage et enraciné dans la science, nous sommes la maison de marques emblématiques - dont NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® et BAND-AID® que vous connaissez et aimez déjà. La science est notre passion ; Le soin est notre talent.

Qui nous sommes

Notre équipe mondiale est composée de ~ 22 000 personnes brillantes avec une culture d'entreprise où chaque voix compte et chaque contribution est appréciée. Nous sommes passionnés par les idées, l'innovation et l'engagement à fournir les meilleurs produits à nos clients. Avec de l'expertise et de l'empathie, être un Kenvuer signifie avoir le pouvoir d'avoir un impact sur des millions de personnes chaque jour. Nous donnons la priorité aux personnes, nous nous soucions farouchement, nous gagnons la confiance grâce à la science et nous résolvons les problèmes avec courage - et nous vous offrons de brillantes opportunités ! Joignez-vous à nous pour façonner notre avenir et le vôtre. Pour plus d'informations, cliquez sur ici.

Role relève à :

Sr. Director, Enterprise Data Products

Lieu :

Asia Pacific, India, Karnataka, Bangalore

Lieu de travail :

Entièrement sur place

Ce que tu vas faire

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: 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 an 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

 

*Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment & hiring process.

 

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.

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