Description

You will lead ETL development, cloud migration, and automation efforts for scalable data pipelines.

This role is hybrid.

Responsibilities

• Develop and maintain scalable ETL pipelines within the AWS ecosystem.
• Lead large-scale cloud migration efforts to ensure smooth data transitions.
• Conduct ETL testing to ensure data integrity, accuracy, and performance.
• Use Python to develop custom scripts and automate data processes.
• Monitor, troubleshoot, and optimize data workflows for reliability.

Required Skills

• 10+ years of experience in Data Engineering.
• Extensive experience with AWS services including S3, Redshift, Glue, and Lambda.
• Advanced Python skills for data processing and automation.
• Proven expertise in ETL testing and methodologies.
• Hands-on experience with cloud migration strategies and best practices.
• Ability to work in a hybrid model, 3 days per week in-office in Dallas, TX.

Key Skills

Education

Not specified