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.