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).
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 i...
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).
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