Analyst, Data Engineering

Analyst, Data Engineering

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.

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: Manager, Digital Solutions

Location: Asia Pacific, India, Karnataka, Bangalore

Work Location: Hybrid

This position reports to the Manager, Digital Solutions and is based at Bangalore, India.

As the Analyst Data Engineering you will play a pivotal role in supporting and enhancing solutions that empower our Operations with timely and relevant data. You'll explore new tools and build cost-effective solutions using the powerful Azure Data Platform and Azure Databricks. In this position, you will also support our Data Engineering team, driving and supporting key initiatives and business processes that shape the future of our organization.

Key Responsibilities:

• Develop, customize, and manage integration tools, databases, warehouses, and analytical systems
• Manage and scale ETL data pipelines from internal and external data sources to support new product launches and drive data quality across data products
• Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance
• Implement best practices around systems integration, security, performance and data management
• Collaborate with internal clients (Data engineering dev team, other support teams, Data science team) to drive solutioning and POC discussions
• Partner with the business, IT, and technical subject matter experts to ensure execution of enterprise-wide data engineering products & platform development
• Deploy data pipelines into production environments by enriching the model with data stored in a Data Lakes or coming directly from data sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
• Monitor the overall performance and stability of the system; adjust and adapt automated pipeline as data, models, and/or requirements change
• Work with the Data Asset and Capability teams to identify the right data sources and understand and build and support the data architectures for optimal data extraction and transformation for key business processes.

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