EMPLOYMENT

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.