Senior Manual QA Engineer (Data / ETL / DWH)
Description 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
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