Enterprise Data & Analytics Operations Engineer

Enterprise Data & Analytics Operations Engineer

Wat we doen

Bij Kenvue realiseren we de buitengewone kracht van dagelijkse verzorging. Gebouwd op meer dan een eeuw erfgoed en geworteld in de wetenschap, zijn we het huis van iconische merken - waaronder NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® en BAND-AID® die je al kent en waar je van houdt. Wetenschap is onze passie; Zorg is ons talent.

Wie we zijn

Ons wereldwijde team bestaat uit ~ 22.000 briljante mensen met een werkcultuur waar elke stem telt en elke bijdrage wordt gewaardeerd. We zijn gepassioneerd door inzichten, innovatie en toegewijd aan het leveren van de beste producten aan onze klanten. Met expertise en empathie betekent een Kenvuer zijn dat je elke dag de kracht hebt om miljoenen mensen te beïnvloeden. We stellen mensen op de eerste plaats, geven er veel om, verdienen vertrouwen met de wetenschap en lossen op met moed - en hebben schitterende kansen voor je klaarliggen! Geef samen met ons vorm aan onze toekomst - en die van jou. Klik voor meer informatie op here.

Rol rapporteert aan:

Sr. Director, Enterprise Data Products

Locatie:

Asia Pacific, India, Karnataka, Bangalore

Werklocatie:

Volledig ter plaatse

Wat je gaat doen

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 & Analytics Operations Engineer (often called a DataOps Engineer) is a specialized role focused on the "production line" of data. They bridge the gap between data engineering (which builds the systems) and data analysis (which uses the data), ensuring that pipelines are automated, reliable, and secure. 

Core Responsibilities

• Pipeline Monitoring & Maintenance: Assist in the daily operation of data pipelines using Azure Data Factory (ADF) and Databricks. This includes troubleshooting job failures, monitoring performance bottlenecks, and ensuring data flows reliably into the Delta Lake.

• Data Quality & Integrity: Perform data mapping and quality assurance checks to identify inconsistencies. You will often assist in developing "Gold-layer" data products—structured, analysis-ready datasets that meet enterprise standards.

• Code & Automation: Write and optimize Spark SQL and PySpark code within Databricks notebooks to automate manual data transformations.

• Documentation: Create and maintain technical documentation for data models, pipeline workflows, and data dictionaries to support team-wide transparency.

• Collaborative Support: Work closely with senior engineers, vendor partners and stakeholders to translate business requirements into technical solutions and assist in change management documentation. 

• Contribute to technical documentation and solution design assets

Key Technical Skills

• Platforms: Hands-on familiarity with Azure Databricks, Azure Data Lake Storage (ADLS), and Azure Data Factory.

• Languages: Proficiency in SQL (complex querying) and Python/PySpark (data transformation).

• Tools: Basic experience with Git for version control and familiarity with CI/CD workflows via Azure DevOps.

• Hands on experience in Job clusters, Unity Catalog, Databricks Notebooks

• Excellent Communication skills and Root -Cause Analysis.· 

        

Qualifications

• Experience: 1–3 years of professional experience, including internships or academic projects involving cloud data services.

• Education: A Bachelor’s degree in Computer Science, Data Science, Statistics, or a related quantitative field.

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate or Azure Fundamentals

• Databricks Certified Professional Data Engineer 

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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