Senior Data Engineer
About the job
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
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Design, build, and maintain ETL/data pipelines using AWS native tools (Glue, Redshift, S3, Lambda, Step Functions).
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Support data migration from Teradata/Omnia to AWS.
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Develop and optimize Spark ETL jobs and data transformation logic.
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Deliver reporting data sets and data models for analytics teams.
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Collaborate with platform and analytics teams to ensure data reliability, scalability, and governance.
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Evaluate and propose improvements in data engineering and pipeline design.
Key Requirements:
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5-10 years' experience in data engineering, with hands-on experience in AWS.
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Proven track record of building data pipelines and migrating from on-prem/legacy systems.
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Strong SQL, Spark, and Python developer.
- AWS Glue, Redshift, S3, Spark, PySpark, SQL, ETL orchestration.
