Data Engineer, AWS Lakehouse Migration
Overview
Own the end-to-end migration of on-prem Data Lake to AWS Lakehouse. You will join the datastore-migration Factory team in Dallas, TX, working hybrid onsite. Refactor legacy ETL pipelines, migrate scheduling, and execute large-scale data transfers. This role offers direct impact on cloud transformation with AWS technologies.
What You'll Do7
- 1Refactor extraction logic from legacy frameworks to AWS Lakehouse in the first 90 days.
- 2Migrate job scheduling from on-prem orchestration to AWS Step Functions or Airflow.
- 3Execute data transfers from on-prem Data Lake to AWS S3 and Glue.
- 4Build and validate new ETL pipelines using PySpark and AWS Glue.
- 5Automate migration workflows with Python and Bash.
- 6Coordinate with data engineers to ensure zero data loss during migration.
- 7Document migration runbooks and troubleshoot data discrepancies.
Requirements7
- 110+ years in data engineering with Python and SQL.
- 2Hands-on with AWS services: S3, Glue, Step Functions, Lake Formation.
- 3Experience migrating on-prem Data Lake to AWS Lakehouse.
- 4Expertise in PySpark and distributed data processing.
- 5Strong skills in Airflow or similar workflow schedulers.
- 6Knowledge of data modeling and ELT pipelines.
- 7Ability to work onsite in Dallas, TX (hybrid).
Salary Insight
Salary not disclosed in listing
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