Description

Must-Have Skills:

• 7+ years of experience in Quality Assurance, Test Automation, and Data Validation
• Strong hands-on experience in Python development and automation testing
• Strong expertise in DB2 SQL and database validation
• Data migration, ETL, data warehouse, reporting, and risk management testing
• Source-to-target data validation and reconciliation
• Data quality and integrity testing
• Enterprise, regulatory, and risk reporting validation
• Python-based automation framework development
• QA strategy, test planning, test execution, and release sign-off
• CI/CD pipelines and automated test execution
• Experience with Copilot and AI tools for testing productivity
• ETL pipeline, data warehouse, batch process, and reporting validation
• TDD and OOP concepts
• Enterprise databases including DB2, Oracle, and SQL Server
• Agile methodology and QA best practices
• Defect triage, risk assessment, and troubleshooting
• Strong analytical and problem-solving skills
• Excellent verbal and written communication
• Technical leadership and mentoring of QA engineers

Preferred Experience:

• Experience leading QA activities for enterprise data migration and reporting initiatives
• Experience integrating automated testing into CI/CD pipelines
• Experience with continuous testing practices
• Experience validating financial, regulatory, and risk reporting applications
• Experience driving QA automation adoption and continuous improvement
• Experience collaborating with Data Engineers, Developers, Business Analysts, and business stakeholders
• Experience defining validation frameworks and quality standards
• Experience monitoring test execution and reporting quality metrics
• Experience participating in Agile/Scrum ceremonies

Education: Bachelor's Degree in Computer Science

Key Skills

Education

Bachelor's degree