Senior QA Automation Engineer (Databricks, SQL, Python, Robot Framework)

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. The Market Regulation team is part of the DADB (Data Analytics & Dashboarding) team, responsible for ensuring data quality and regulatory reporting integrity within a leading investment bank across multiple regulatory jurisdictions.

• 3+ years of experience in Software Testing and QA Automation
• Strong hands-on experience with Robot Framework
• Advanced proficiency in SQL
• Strong background in Python programming and scripting
• Experience testing data-intensive applications, ETL pipelines or data warehouse solutions
• Familiarity with Databricks
• Ability to validate and analyze large datasets
• Competency in creating automated regression and integration test suites
• Strong analytical and troubleshooting skills
• Excellent command of written and spoken English (B2+ level)

Nice to have:

• Knowledge of Git
• Background in Oracle RDBMS
• Understanding of Regulatory Reporting

• Design, develop and maintain automated testing solutions using Robot Framework, Python and SQL
• Validate data pipelines, transformations and business rules implemented within Databricks and cloud-based analytics platforms
• Perform end-to-end testing of data ingestion, enrichment, reconciliation and reporting processes
• Verify data completeness, accuracy, lineage and consistency across multiple source systems and reporting layers
• Execute validation of large-scale datasets supporting regulatory and supervisory reporting obligations
• Investigate data anomalies, perform root-cause analysis and collaborate with engineering teams on remediation activities
• Contribute to test strategy, test planning, estimation and quality metrics reporting
• Support CI/CD pipelines by integrating automated tests into delivery workflows
• Collaborate closely with Data Engineers, Software Engineers, Product Owners, Business Analysts, and stakeholders from Regulatory Reporting and Data Analytics domains
• Ensure compliance with strict quality, auditability and control standards expected in a regulated banking environment