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OutSystems brand, Bangalore metro, mid-level (4+ yrs), and generalist QA/data skillset increases candidate competition.
SQL and BI-focused data QA skills transfer across industries, though data-domain experience improves fit.
Explicit 4+ years, mandatory SQL, BI, automation, and AI tooling requirements enforce strict filtering.
Design, develop, and execute comprehensive test strategies combining manual exploratory testing with AI-driven automated data testing frameworks for BI and data warehouse solutions.
Manually validate complex end-to-end data workflows, perform data quality and integrity checks, and balance manual and automated testing to eliminate critical defects from production.
Collaborate cross-functionally with R&D, Data Engineering, Cloud, Security, and Business Operations to enforce data governance standards and support continuous integration/delivery testing at scale.
4+ years of experience in BI and data quality testing including data warehousing and automated test execution.
Proficiency in advanced SQL querying and data validation; experience with data visualization tools like Tableau or Power BI.
Experience with test automation and familiarity or openness to AI integration tools (e.g., Claude, Gemini, UiPath).
Fluency in English and experience using test management tools such as JIRA or HP ALM.
Experienced in both manual exploratory and automated AI-driven data quality testing in enterprise BI environments.
Skilled at designing test strategies that translate complex business data workflows into automated CI/CD-friendly test frameworks.
Collaborative and detail-oriented professional with a strong ability to perform root cause analysis and work across technical and business teams to drive data quality excellence.