About the role
Role: Senior AWS Data Engineer Skills: AWS Glue, Amazon S3, Amazon Athena, AWS Lambda, AWS Step Functions, Python, SQL, ETL/ELT Pipelines, Oracle, MySQL, SQL Server, Amazon Redshift, Data Lake Experience: 7-0 years Requirements: - Minimum 5 years of hands-on AWS experience - Hands-on data migration experience from Oracle, MySQL, SQL Server, or legacy data warehouses to AWS S3 or Redshift - AWS Step Functions hands-on experience - Experience with data ingestion, data lake architecture, partitioning, data validation, and production pipeline troubleshooting
Requirements & Responsibilities
- Minimum 5 years of hands-on AWS experience
- Hands-on data migration experience from Oracle, MySQL, SQL Server, or legacy data warehouses to AWS S3 or Redshift
- AWS Step Functions hands-on experience
- Experience with data ingestion, data lake architecture, partitioning, data validation, and production pipeline troubleshooting
Skills & Tech Stack
AWS GlueAmazon S3Amazon AthenaAWS LambdaAWS Step FunctionsPythonSQLETL/ELT PipelinesOracleMySQLSQL ServerAmazon RedshiftData Lake