Data Quality Engineer

About the Role

*EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.* We are looking for a **Data Quality Engineer** to build ETL/ELT solutions and DWH/DB systems at scale. You will create Python\- and SQL\-based test automation, validate DWH/Data Lake pipelines, and embed checks into CI/CD workflows across cloud data services. **Responsibilities** * Design automated test scripts to validate ETL workflows and data pipeline behavior * Execute end\-to\-end data validation, reconciliation, and DWH/DB testing across large datasets * Collaborate with data engineers, analysts, and stakeholders to align test strategies with data quality standards * Build reusable, scalable test automation frameworks using Python and SQL * Integrate automated tests into CI/CD pipelines to enable continuous testing and delivery * Validate data transformation logic and completeness across Azure, AWS, and GCP platforms * Contribute to Agile ceremonies, including sprint planning, retrospectives, and story grooming **Requirements** * Professional experience of 4\-6 years in data quality engineering, including ETL automation and Data Warehouse/Data Lake testing * Strong command of SQL for data validation, reconciliation, and test automation routines * Hands\-on knowledge of Python for scripting, utilities, and framework development * Practical experience with one or more Test Automation Frameworks * Working exposure to Cloud Data Services across Azure (ADF, ADB), AWS (Glue, Lambda, Redshift), and GCP (BigQuery) * Solid understanding of CI/CD tools and practices, including Jenkins, Git, and Azure DevOps * Familiarity with Agile/Scrum methodologies and iterative delivery **Nice to have** * Experience with data observability or data quality tools such as Great Expectations or Deequ * Basic knowledge of data governance and metadata management concepts * Cloud certifications in Azure, AWS, or 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.)