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 Excellent Expectations, Deequ, or similar data observability/data quality tools
- Introductory understanding of data governance and metadata management
- Relevant cloud certifications (Azure/AWS/GCP)

📌 Data Quality Engineer (Gurugram)
🏢 EPAM Systems
📍 Gurugram