About the role
Role: AWS Data Engineer Skills: AWS Glue, Amazon S3, Amazon Athena, AWS Lambda, AWS Step Functions, Python, SQL, ETL, ELT, Data Pipelines, Data Lake, Amazon Redshift, Oracle, MySQL, SQL Server Experience: 7-0 years Requirements: - 5+ years of hands-on AWS experience - AWS Step Functions is mandatory - experience building end-to-end data pipelines and ETL/ELT processes - experience migrating data from Oracle, MySQL, SQL Server, or legacy data warehouses to AWS S3 or Redshift - experience with file-based data ingestion, workflow orchestration, data lake architecture, and pipeline optimization
Requirements & Responsibilities
- 5+ years of hands-on AWS experience
- AWS Step Functions is mandatory
- experience building end-to-end data pipelines and ETL/ELT processes
- experience migrating data from Oracle, MySQL, SQL Server, or legacy data warehouses to AWS S3 or Redshift
- experience with file-based data ingestion, workflow orchestration, data lake architecture, and pipeline optimization
Skills & Tech Stack
AWS GlueAmazon S3Amazon AthenaAWS LambdaAWS Step FunctionsPythonSQLETLELTData PipelinesData LakeAmazon RedshiftOracleMySQLSQL Server