Description

Build and maintain scalable ETL pipelines while leading large-scale cloud migration efforts within an AWS environment in Dallas, TX.

Responsibilities

• Develop and maintain scalable ETL pipelines using AWS services.
• Conduct ETL testing to ensure data integrity, accuracy, and performance.
• Lead cloud migration efforts to ensure smooth data transitions.
• Write Python scripts to automate processes and handle data processing.
• Monitor, troubleshoot, and optimize data workflows for reliability.

Required Skills

• 8-10+ years of experience in Data Engineering.
• Hands-on experience with AWS services including S3, Redshift, Glue, and Lambda.
• Advanced Python skills for data processing and automation.
• Proven experience with ETL testing methodologies.
• Deep understanding of cloud migration strategies and best practices.
• Ability to troubleshoot and solve complex data issues.
• Must be local to Texas or willing to relocate to Dallas.
• Ability to work in a hybrid model 3 days per week in-office.

Key Skills

Education

Not specified