A data engineer with 2-3 years of experience who builds and maintains Databricks lakehouse data pipelines (Medallion architecture) on AWS, supporting data centralization, data modeling, and unit testing. Works with AWS services including S3, Amazon Connect, Contact Lens, and Bedrock during US business hours.
Working Hours: US business hours / significant overlap with the US team
About the Role
We are looking for a Data Engineer with 2–3 years of experience to support the design and development of our lakehouse architecture and data pipelines as we transition to Databricks on AWS S3.
Requirements
Key Responsibilities
Develop and maintain data pipelines within the Databricks Lakehouse / Medallion Architecture.
Support data centralization and integration across internal systems.
Work with AWS services, including S3, Amazon Connect, Contact Lens, and Bedrock.
Understand and work with ERDs and fundamental data modeling concepts, including data grain and join cardinality.
Perform unit testing and validate own development before deployment.
Requirements
2–3 years of experience in Data Engineering.
Hands-on experience with Databricks and AWS.
Experience with Amazon Connect, Contact Lens, or Bedrock is highly desirable.
Good understanding of data modeling, ERDs, and SQL.
Ability to independently perform unit testing and troubleshoot data pipelines.