Job Description

Kenvue is currently recruiting for a:


Enterprise Data & Analytics Operations Engineer

What we do

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 that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are 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 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.

Role reports to:

Sr. Director, Enterprise Data Products

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Fully Onsite

What you will do

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.

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.


If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.