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: 8-10+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 -10+ 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.
Location: Dallas, TX (Hybrid – 3 days per week in-office)
Interview Process: In-Person Interview
Experience: 8-10+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 -10+ 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.
—
