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Tier-1 brand, Bangalore metro, and mid-level experience increase applicant density despite niche ETL QA skills.
Data-focused QA requires ETL, SQL and cloud expertise, moderately limiting cross-industry transferability.
Explicit 4–8 years plus mandatory ETL testing, SQL, automation tools and cloud requirements tighten shortlisting.
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Define and lead test strategies and scalable automation frameworks for data-intensive systems, focusing on ETL/ELT pipelines and cloud platforms.
Integrate automated tests into CI/CD workflows using tools like Jenkins, GitHub Actions, or Azure DevOps, ensuring quality in Agile environments.
Report QA metrics and provide risk-based release readiness recommendations while staying updated on AI-powered automation testing trends.
4-8 years of work experience required in ETL testing, data quality, and SQL.
Proficiency in test automation tools such as Playwright, Java, PyTest, and Selenium.
Solid understanding of cloud platforms (AWS, Azure) and CI/CD processes.
Education required: B.Tech, M.Tech, MBA, or MCA.
Experienced in managing test strategies and automation frameworks for data and analytics engineering projects.
Hands-on expertise in ETL tools, cloud platforms, and Agile/Scrum methodologies working cross-functionally.
Capable of collaborating with engineering, data, and business teams to deliver quality outcomes integrated into CI/CD pipelines.