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Enterprise Data & Analytics Lead Engineer

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Kenvue recrute actuellement pour un :

Enterprise Data & Analytics Lead 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 

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

  • CPG Data Harmonization: Designing pipelines to ingest, harmonize and curate disparate data sources, including   ERP (eg., SAP), PLM (eg., Laboratory Information Management System), Point of Sale (POS) data from global retailers (e.g., Walmart, Costco, Carrefour, Tesco, etc.), and internal WMS/TMS systems into a unified Delta Lake.

  • Lakehouse Implementation: Developing a Medallion Architecture (Bronze, Silver, Gold) in Databricks to ensure high-quality, trusted aggregated data model and curated data products.

  • Supply Chain Orchestration: Using Databricks Workflows or Azure Data Factory to automate complex ETL/ELT processes that power demand forecasting and inventory replenishment models.

  • Operational Monitoring: Implementing real-time streaming (Spark Structured Streaming) to provide immediate visibility into supply chain disruptions, such as logistics bottlenecks or stockouts.

  • Governance & Security: Managing fine-grained access control and data lineage for multi-brand or regional datasets using Unity Catalog to ensure compliance with global data privacy standards.

Required Technical Skills

·       Education: Bachelor's degree in engineering, computer science, or related field.

·       Programming: 5 – 8 years of total work experience, with at least 3 years of experience in advanced SQL, PySpark or Python.

  • Core Platform: Good grasp of Databricks (Delta Lake, DLT, Workflows) and Azure/Cloud services (ADLS Gen2, Key Vault).

  • Data Lineage: Experience with leveraging Unity Catalog for ensuring lineage from raw to curated data assets.

  • DevOps/DataOps: Proficiency in Git, CI/CD (Azure DevOps/GitHub Actions), and Infrastructure as Code (Terraform) for stable, repeatable deployments. 

  • 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

Desired Certifications

  • Microsoft Certified: Azure Fundamentals

  • Microsoft Certified: Azure Data Engineer Associate

  • Databricks Certified Data Engineer Associate

 

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.

Si vous êtes une personne handicapée, veuillez consulter notre Page d'aide aux personnes handicapées pour obtenir des informations sur la façon de demander un aménagement.