Senior Manual QA Engineer (Data / ETL / DWH)

We're looking for a Senior Manual QA Engineer to own end-to-end quality assurance for complex, data-driven systems and ETL pipelines, covering web and API testing, data investigation, complex SQL querying, test planning/scripting/execution, defect reporting and test summaries. Heavy day-to-day use of AI tools for requirement analysis, test-scenario generation, defect investigation, SQL writing and test-process automation. Works continuously with development, product and project-management teams.

Main Responsibilities:

• Use AI tools to run tests and build automation
• Perform end-to-end testing of complex data-based systems and ETL processes
• Test web applications and APIs; investigate and analyze data
• Write complex SQL queries to validate data across DWH / ETL flows
• Plan, write and execute test scripts; report and document defects; write test summaries
• Investigate and analyze logs (Kibana or similar)
• Collaborate continuously with development, product and project managers

Requirements

Requirements (Must-Have):

• Minimum 5 years of software-testing experience
• Hands-on daily use of AI tools (Claude, GitHub Copilot, skills, Playwright and similar) for requirement analysis, test-scenario creation, defect investigation, SQL writing and test-process optimization — continuous working use, not basic familiarity
• Active automation usage of Claude Code, Codex, Chrome DevTools MCP and Playwright MCP
• High SQL command — complex queries, JOINs, Aggregation
• Rich API testing experience — Postman, Swagger
• Log investigation & analysis in Kibana or similar
• Testing of DWH systems and ETL processes
• Strong manual-QA craft — test planning, scripting, defect reporting, test summaries
• High-level English
• Ability to pass a polygraph (mandatory screening)

Nice to Have:

• Experience with SingleStore