Job Description

Kenvue is currently recruiting for a:


Sr. Analyst, Data Engineering

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:

Data Engineering Manager

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

What you will do

Sr. Analyst, Data Engineering

This position reports to the Manager, Data Engineering and is based at Bangalore, India.

Role reports to:

Manager, Data Engineering

Location:

Bangalore, India

Travel %:

up to 10%

What you will do:

As the Sr. Analyst, Data Engineering, you will play a pivotal role in designing and prototyping cutting-edge 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 lead and inspire our cross-vendor Data Engineering team, driving key initiatives that shape the future of our organization.

Key Responsibilities:

Develop, customize, and manage integration tools, databases, warehouses, and analytical systems Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products Adhere to best practices around systems integration, security, performance and data management Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions Implement DevOps, DataOps and Agile methodologies to improve KPIs like cycle times, consistency, and quality Deploy data models 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 finalize the data architectures for optimal data extraction and transformation Test the reliability and performance of data engineering pipelines and support testing team with data validation activities Partner with various Azure Engineering subject matter experts including project Managers and business team to scope and build customer facing content, modules, tools and proof of concepts Research and cultivate in state-of-the-art data engineering methodologies, drive product innovation, and act as an Azure subject matter expert for other engineers

What We Are Looking For

Required Qualifications:

Bachelor's degree in engineering, computer science, or related field. 4 - 6 years of total work experience, with at least 2 years of experience in Azure Data Engineering tool stack At least one key data engineering professional certification (e.g., Azure Data Engineering, Azure Data Fabric, Databricks Data Engineering, etc.) Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, Data Lake, Synapse, Databricks (Pyspark) SQL Experience is required Good scripting, data modeling and programming skills 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 Familiarity with version control systems like Bitbucket, Jenkins and DevOps practices for CI/CD pipelines

Desired Qualifications:

Subject matter expertise on Azure Data, Analytics & AI with experience in Azure architecture design is preferred Good understanding of migration and modernization strategies and approaches is preferred Experience with Spark, Kafka, and/or Flask is preferred Experience in the architecture and design of services using Azure architecture is a plus

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.