Enterprise Data & Analytics Engineer
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- Veröffentlichungsdatum:
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- ID:
- 2507041758W
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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.
Rollenberichte an:
Sr. Director, Enterprise Data ProductsStandort:
Asia Pacific, India, Karnataka, BangaloreArbeitsort:
Vollständig vor OrtWas 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 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
Pipeline Development: Design and maintain scalable ETL/ELT pipelines using Azure Databricks to ingest data into Azure Data Lake Storage (ADLS).
Data Transformation: Utilize PySpark and Spark SQL to clean, normalize, and aggregate raw data into "analytics-ready" formats (Medallion Architecture: Bronze, Silver, Gold layers).
Orchestration & Monitoring: Configure and monitor data workflows using Azure Data Factory or Databricks Workflows (Lakeflow Jobs) to ensure daily retail reports are delivered accurately and on time.
Governance & Security: Implement data access controls and cataloging using Unity Catalog to ensure secure and compliant data handling across the enterprise.
Quality Assurance: Develop automated data quality checks (e.g., using Delta Live Tables) to prevent inaccurate metrics reporting.
Technical Requirements
Education: Bachelor’s degree in Computer Science, Data Science, or a related engineering field.
Programming: 2 – 4 years work experience with proficiency in Python (PySpark) and SQL is essential for building distributed data processing logic.
Databricks Ecosystem: Familiarity with Delta Lake (ACID transactions, time travel) and basic knowledge of Spark core architecture (drivers, executors, tasks). Job clusters, Unity Catalog, Databricks Notebooks.
Azure Proficiency: Exposure to core Azure services, specifically ADLS Gen2, Azure Data Factory (ADF), and Key Vault.
Version Control: Experience using Git for collaborative code development and CI/CD processes.
Performance Tuning: Basic ability to identify bottlenecks in Spark jobs, such as optimizing joins for large-scale transaction tables.
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
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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