Data Quality Engineer

About the Position

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)

We Offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)