Data Migration Engineer – Archiving Service

Kenvue Is Currently Recruiting For A:

Data Migration Engineer – Archiving Service

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. For more information, click here.

Role Reports To:

Archiving Service Owner

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

Job Description

What you will do

We are excited to announce an opening for Senior Analyst at Kenvue.

Please find below the details of the role and its responsibilities.

Skills Required:

AWS Glue, Airbyte, Lambda

Experience Range:

3 - 5 years

Job Description:

Job Title: Data Migration Engineer – Archiving Service

Location: Kenvue India

Job Type: Full-time

Experience: 3 years

About Kenvue:

Kenvue is a global leader in consumer health, dedicated to providing innovative solutions

that enhance the well-being of individuals and families. Our commitment to quality and

excellence drives us to seek passionate professionals who are eager to make a

difference.

Job Summary:

We are seeking an experienced Data Migration Engineer who will be responsible for

migrating data from structured data sources such as Informatica ILM to Amazon S3 in

Parquet file format, while ensuring the retention of all relevant metadata. The candidate

will also manage the migration of data from Azure Blob Storage to Amazon S3 buckets.

The ideal candidate will have a strong background in data migration, experience with

Airbyte and other ETL tools, and familiarity with AWS components.

Key Responsibilities:

• Design, execute, and manage data migration strategies to move data from Informatica
  
  

ILM to Amazon S3 in Parquet format, ensuring data integrity and metadata retention.

• Perform data migration from Azure Blob Storage to Amazon S3 buckets, ensuring
  
  

optimal performance and minimal downtime.

• Utilize Airbyte for ETL processes, configuring connectors, and implementing data
  
  

pipelines for efficient data extraction, transformation, and loading.

• Collaborate with cross-functional teams to gather requirements and ensure data
  
  

migration aligns with business objectives.

• Monitor and troubleshoot data migration processes, ensuring timely resolution of any
  
  

issues that arise.

• Document migration processes, data mappings, and transformations for compliance
  
  

and future reference.

• Stay updated on best practices and emerging technologies in data migration and cloud
  
  

services.

Qualifications:

• Bachelors degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience as a Data Migration Engineer or in a similar role.
• Proven experience with Airbyte and other ETL tools (e.g., Informatica, AWS Glue or
  
  

Airflow).

• Strong hands-on experience with AWS components, particularly S3, Lambda, Glue
  
  

and IAM.

• Familiarity with Azure Blob Storage and its integration with AWS services.
• Experience with data formats such as Parquet and a strong understanding of data
  
  

modeling principles.

• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively in a team
  
  

environment.

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

---