Enterprise Data & Analytics Operations Engineer

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

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.

Wenn Sie eine Person mit einer Behinderung sind, besuchen Sie bitte unsere Behindertenhilfe für Informationen darüber, wie Sie eine Unterkunft anfordern können.