Description

AWS Data Engineer (Data Pipeline & Migration Focus)

The senior data engineer will establish and implement the data engineering capability on a new AWS-based data platform.
The engineer will design and build data pipelines, reporting solutions, and ETL processes, migrating data from legacy platforms (Omnia, Teradata) to strategic AWS-based data systems.

Core Responsibilities

• Design, build, and maintain ETL/data pipelines using AWS native tools (Glue, Redshift, S3, Lambda, Step Functions).
• Support data migration from Teradata/Omnia to AWS.
• Develop and optimize Spark ETL jobs and data transformation logic.
• Deliver reporting data sets and data models for analytics teams.
• Collaborate with platform and analytics teams to ensure data reliability, scalability, and governance.
• Evaluate and propose improvements in data engineering and pipeline design.

Key Requirements:

• 5-10 years' experience in data engineering, with hands-on experience in AWS.
• Proven track record of building data pipelines and migrating from on-prem/legacy systems.
• Strong SQL, Spark, and Python developer.
• AWS Glue, Redshift, S3, Spark, PySpark, SQL, ETL orchestration.