Overview
Remote
Depends on Experience
Contract - W2
Contract - 3 Month(s)
Skills
Amazon Web Services
Extract
Transform
Load
Data Lake
PySpark
Python
Workflow
SQL
Medallion Architecture
Job Details
AWS Data Engineer
Duration: 3 months - possible of extension
We are seeking an AWS Data Engineer with hands-on experience implementing Medallion Architecture (Bronze, Silver, Gold) using S3, Glue, Lake Formation, and Athena. The engineer will build scalable ETL workflows using Python, PySpark, and SQL, ensuring high-quality, governed data pipelines with schema evolution and CDC support.
Responsibilities:
Design, build, and maintain data pipelines across Bronze, Silver, and Gold layers.
Develop ETL/ELT transformations using Python, PySpark, and SQL
Implement schema evolution, CDC handling, and data quality validation.
Optimize data lake performance and governance using Lake Formation and Athena.
Duration: 3 months - possible of extension
We are seeking an AWS Data Engineer with hands-on experience implementing Medallion Architecture (Bronze, Silver, Gold) using S3, Glue, Lake Formation, and Athena. The engineer will build scalable ETL workflows using Python, PySpark, and SQL, ensuring high-quality, governed data pipelines with schema evolution and CDC support.
Responsibilities:
Design, build, and maintain data pipelines across Bronze, Silver, and Gold layers.
Develop ETL/ELT transformations using Python, PySpark, and SQL
Implement schema evolution, CDC handling, and data quality validation.
Optimize data lake performance and governance using Lake Formation and Athena.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.