Posted on: 18/05/2026
Job Description :
We are looking for an experienced ETL/Data Quality Engineer with strong expertise in Big Data and cloud-based data validation.
The ideal candidate should have hands-on experience in ETL testing, SQL-based data validation, Python/PySpark automation, and GCP-based data platforms.
The role requires deep understanding of data quality engineering, large-scale data validation, and testing of cloud-based ETL pipelines.
Mandatory Skills :
- 5 to 10 years of experience in ETL Testing/Data Warehouse Testing/Data Quality Engineering.
- Strong hands-on experience in SQL and large-scale data validation.
Experience with GCP services :
- BigQuery.
- DataProc.
- Cloud Composer (Airflow).
- Strong Python and PySpark programming skills.
- Experience validating ETL pipelines and large datasets.
- Strong understanding of STLC and defect lifecycle.
- Experience in Agile/Scrum environments.
- Hands-on experience in test planning, test strategy, and execution.
- Experience with regression and end-to-end testing.
Preferred Skills :
- Experience with Great Expectations or Deequ.
- Exposure to CI/CD pipelines.
- Knowledge of data governance and data lineage.
- Experience working with distributed Big Data systems.
Good To Have :
- Automation framework development.
- Performance testing exposure.
- Experience with modern data quality tools.
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Posted by
Posted in
Quality Assurance
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1636735