Sr. Analyst, Data Engineering

Was wir tun

Bei Kenvue erkennen wir die außergewöhnliche Kraft der täglichen Pflege. Aufbauend auf über einem Jahrhundert Tradition und verwurzelt in der Wissenschaft, sind wir das Haus der ikonischen Marken - darunter NEUTROGENA®, AVEENO®, TYLENOL,® LISTERINE®, JOHNSON'S® und BAND-AID®, die Sie bereits kennen und lieben. Wissenschaft ist unsere Leidenschaft; Fürsorge ist unser Talent.

Wer wir sind

Unser globales Team besteht aus ~ 22.000 brillanten Mitarbeitern mit einer Arbeitsplatzkultur, in der jede Stimme zählt und jeder Beitrag geschätzt wird. Wir sind leidenschaftlich an Erkenntnissen interessiert, Innovation und dem Engagement, unseren Kunden die besten Produkte zu liefern. Mit Fachwissen und Einfühlungsvermögen bedeutet ein Kenvuer zu sein, die Macht zu haben, jeden Tag Millionen von Menschen zu beeinflussen. Wir stellen den Menschen an die erste Stelle, kümmern uns leidenschaftlich, gewinnen Vertrauen in der Wissenschaft und lösen Lösungen mit Mut – und haben brillante Möglichkeiten, die auf Sie warten! Gestalten Sie mit uns unsere Zukunft – und Ihre. Für weitere Informationen, klicken Sie auf hier.

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Was Sie tun werden

Sr. Analyst- Data Engineering

This position reports to Manager , Digital Solutions and is based at Bengaluru, IN

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, Digital Solutions

Location: Bengaluru, IN

What you will do 

As a Sr. Analyst, Data Engineer, you will build, support, and optimize modern data solutions and analytical products across the Azure Data Platform. You’ll design and manage robust data pipelines (Azure Data Factory, Databricks, Data Lake, Synapse). You will collaborate closely with business stakeholders, data engineers, and data scientists to deliver reliable, secure, and scalable data products that drive decision-making—particularly within Supply Chain and CPG contexts.

Note: This role includes production support, monitoring, and potential rotational shift coverage (including night shifts if required).

Key Responsibilities:

Data Engineering & Platform Operations

• Design, develop, customize, and manage data integration tools, data lakes, warehouses, and analytical systems on Azure.

• Build, scale, and harden data pipelines (internal & external sources) using Azure Data Factory, Azure Databricks (PySpark/Spark SQL), Azure Data Lake, Azure Synapse, and Azure SQL.

• Own automation, observability, and monitoring frameworks—capturing operational KPIs and data quality metrics; set up alerting and runbooks.

• Deploy pipelines to production, manage compute resources, configure data attributes, set up monitoring tools, and ensure resilient operations.

• Monitor performance & stability, triage incidents, and adapt pipelines as data/models/requirements evolve.

• Implement best practices for systems integration, security (RBAC, Key Vault, RLS/OLS), performance, cost optimization, and data governance.

• Apply DevOps/DataOps/Agile methodologies; manage version control (Git/Bitbucket) and CI/CD pipelines (Azure DevOps/Jenkins) for data and BI assets.

• Partner with business, IT, and SMEs to translate requirements into scalable data products; lead solutioning and POC discussions.

• Preferred: Experience in CPG Supply Chain (planning, sourcing, manufacturing, logistics, customer service) and related KPIs.

Required Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Analytics, IT, or related field.

• 4–7 years of relevant experience across Azure Data Engineering.

• Hands-on expertise with:

  • Azure Databricks (PySpark/Spark SQL), Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL

  • SQL/T-SQL (complex queries, stored procedures)

• Experience with Git/Bitbucket, Azure DevOps/Jenkins for CI/CD of data and BI assets.

• Strong scripting, data modeling, and programming fundamentals.

• Solid understanding of cloud architecture principles (security, scalability, reliability, cost).

• Excellent communication, stakeholder management, and the ability to mentor others.

• Shift flexibility, including night shifts if required.

Desired Qualifications

• Certifications:

  • Microsoft Certified: Azure Data Engineer Associate (DP-203)

  • Databricks Data Engineer Associate/Professional

• Experience with migration & modernization (from legacy ETL/BI to Azure-native).

• Preferred CPG/Supply Chain domain expertise.

• Master’s degree (e.g., Supply Chain/Analytics/IT) is a plus.

What’s in it for you

• Competitive Total Rewards Package*

• Paid Company Holidays, Paid Vacation, Volunteer Time & More!

• Learning & Development Opportunities

• Employee Resource Groups 

*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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