Data Quality Engineer

EPAM · Gurgaon

Source and collection record

Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: bltiumd1x6k5lcddkdx

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Collected role description

We are looking for a Data Quality Engineer to strengthen data reliability through automated testing of ETL/ELT and DWH/DB flows. You will use SQL and Python to validate large datasets, develop test automation frameworks, and connect checks to CI/CD across Azure, AWS, and GCP. Responsibilities Develop and run automated tests that validate ETL workflows and data pipelines Perform end-to-end reconciliation and DWH/DB testing across high-volume datasets Coordinate with data engineers, analysts, and stakeholders to define test approaches and uphold data quality standards Create scalable, reusable Python and SQL-based test automation frameworks Embed automated test execution into CI/CD pipelines for continuous testing and delivery Verify transformation logic and data completeness across Azure, AWS, and GCP Participate in sprint planning, retrospectives, and story grooming as part of Agile ceremonies Requirements 4-6 years of relevant experience in ETL automation plus Data Warehouse/Data Lake testing Proficiency in SQL to create automated validations and support data quality testing Working knowledge of Python for scripting and building automation framework components Experience using at least one Test Automation Framework Exposure to cloud data services, including Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery) Understanding of CI/CD practices and tools such as Jenkins, Git, and Azure DevOps Comfort with Agile/Scrum ways of working in delivery teams Nice to have Hands-on experience with Great Expectations, Deequ, or similar data observability/data quality tools Introductory understanding of data governance and metadata management Relevant cloud certifications (Azure/AWS/GCP)

Collected experience requirement

4-6 years