Senior Data Engineer

Connect Search is working with a large manufacturer who is seeking multiple AWS Data Engineers with strong Python, Pandas, SQL, and ETL pipeline development experience. The ideal candidate will have a proven background building scalable data pipelines, performing complex data transformations, and working with large datasets in AWS cloud environments.

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.

Key Responsibilities & Requirements

• Strong hands-on Python development experience, specifically using Pandas and DataFrames for data manipulation and transformation.
• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Experience with AWS cloud services such as S3, Lambda, Glue, and EC2.
• Strong SQL skills for querying, joining, and transforming large datasets.
• Develop data processing solutions involving data cleansing, validation, aggregation, and integration.
• Optimize Python and Pandas code for performance and efficiency.
• Troubleshoot and maintain production data pipelines.
• Collaborate with engineering teams to deliver reliable, high-quality data solutions.

Ideal Candidate

A true hands-on Python Data Engineer who has extensive experience writing Pandas-based transformations, working with DataFrames, and developing end-to-end ETL pipelines in AWS.

Must be able to work onsite in downtown Chicago 2 days per week. xzgxqkn

For eligible employees, we offer medical, dental, and vision coverage as well as a 401(k) plan.”