AWS Data Engineer
Summary
Builds and maintains cloud-based ETL/ELT pipelines using AWS services like Glue, Lambda, and Redshift, with Python and SQL for data transformation and optimization.
Strong experience with Python
Hands-on experience with AWS (S3, Glue, Lambda, EMR, Redshift, or similar services)
Strong SQL skills for data transformation and optimization
Experience building and maintaining ETL/ELT pipelines
Knowledge of data warehousing and cloud-based data solutions
Experience with performance tuning and data quality best practices
Familiarity with Git and Agile methodologies is a plus.