Data Testing Engineer (Intermediate)
9 Minutes ago • 3-5 Years
Testing
Job Description
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.
Must Have:
- 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.
- 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.
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.
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