Job Title : AWS Data Engineer
Location : Chicago, IL (Local candidates only)
Experience : 9+ Years
Job Description :
We are seeking an experienced AWS Data Engineer to design, develop, and optimize scalable data pipelines and analytics solutions in the cloud. The ideal candidate will have strong expertise in AWS data services and modern ETL frameworks.
Key Responsibilities :
Design and build scalable data pipelines using AWS services (Glue, Redshift, Lambda, S3, EMR).
Develop and optimize ETL workflows using Python, PySpark, or SQL.
Collaborate with data scientists and analysts to ensure reliable and high-performance data delivery.
Implement data quality, governance, and security best practices.
Troubleshoot and optimize data processes for performance and cost efficiency.
Required Skills :
9+ years of experience in Data Engineering.
Hands-on expertise with AWS Glue, Redshift, S3, Lambda, EMR, Athena .
Strong SQL and Python / PySpark programming skills.
Experience with data modeling, schema design, and big data tools (Spark, Hive).
Familiarity with CI / CD pipelines and version control (Git, CodePipeline).
Data Engineer Aws • Chicago, IL, United States