AWS Data Engineer Hybrid - US

AWS Data Engineer

Full Time • Hybrid - US
Replies within 24 hours
Benefits:
  • Long Term
  • Hybrid
  • Opportunity for advancement
Job Title: Data Engineer—ETL Testing, Cloud Migration & Python
Location: Dallas, TX (Hybrid—3 days per week in-office)
Interview Process: In-Person Interview
Experience: 8+ Yrs

Key Responsibilities:
• Develop and maintain scalable ETL pipelines within the AWS ecosystem.
• Conduct ETL testing to ensure data integrity, accuracy, and performance.
• Lead and support large-scale cloud migration efforts.
• Use Python to develop custom scripts and automate processes.
• Collaborate with cross-functional teams to design efficient data solutions.
• Monitor, troubleshoot, and optimize data workflows for reliability and performance.
• Ensure a smooth transition of data during cloud migrations.
 
Qualifications:
• 8+ years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development.
• Strong hands-on experience in AWS services (S3, Redshift, Glue, Lambda).
• Proficiency in ETL testing and methodologies.
• Advanced skills in Python for data processing and automation.
• Knowledge of cloud migration strategies and best practices.
• Excellent problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a hybrid model, with 3 days a week in-office at our Dallas location.

Flexible work from home options available.

Compensation: $55.00 - $60.00 per hour




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