Data Testing Engineer (Intermediate)

Intelligent EngineeringRemote, New York, New York United States


Description

Position at Ness Digital Engineering

6. Quality Assurance Engineer (Intermediate)

Location: USA
Role Summary:
The QA Engineer will validate migrated ETL jobs by designing and executing automated test suites, ensuring functional parity with the legacy system by building customer frameworks using Python
Responsibilities:
  • Design automated test cases using pytest, validation scripts, and golden datasets.
  • Conduct side-by-side validation runs against legacy outputs.
  • Perform regression, performance, and data accuracy testing.
  • Document test cases, results, and defect logs.
  • Collaborate with Dev and RPA teams for issue resolution.
Qualifications:
  • 3–5 years of experience in QA/Test Automation.
  • Strong proficiency in Python (pytest, unittest).
  • Experience with ETL/data validation testing.
  • Familiarity with CI/CD pipelines.
Key Skills: Python Testing, ETL Validation, Test Automation, CI/CD, QA Documentation.