Careernet
Data QA Engineering
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
17 August 2026
What they need
Key Skills: ETL Testing, Python, SQL, PySpark, Data Validation, Azure DevOps, Jenkins, GitLab, Airflow
Roles & Responsibilities:
- Perform end-to-end data validation across ETL/ELT pipelines.
- Validate data quality, accuracy, completeness, and consistency.
- Develop automated testing frameworks using Python, SQL, and PySpark.
- Execute source-to-target, transformation, and regression testing.
- Integrate data validation into CI/CD pipelines.
- Identify, troubleshoot, and resolve data quality issues.
Experience Required:
- 5-7 years of experience in Data QA, ETL Testing, or Data Engineering QA.
- Strong expertise in Python, SQL, and ETL/ELT testing.
- Hands-on experience with data validation and regression testing.
- Experience with CI/CD tools such as Azure DevOps, Jenkins, or GitLab.
- Azure Cloud experience is an added advantage.
Education: Any Graduation
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