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Tier-1 brand, mid-level experience, Bangalore location and broad QA/data skillset increase competition.
ETL testing, SQL, automation and cloud skills are transferable but require data-domain experience.
Explicit 4–8 years plus mandatory ETL, SQL, automation and cloud skills drive strict filtering.
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Define and lead test strategies for data-intensive systems focusing on ETL/ELT pipelines and cloud data platforms.
Design and implement scalable automated testing frameworks and integrate these into CI/CD pipelines using tools like Jenkins, GitHub Actions, or Azure DevOps.
Collaborate with cross-functional teams in Agile environments to ensure quality across development lifecycle and report QA metrics with risk-based release recommendations.
4-8 years of work experience in ETL testing, data quality, and automation testing.
Strong skills in SQL, ETL tools, test automation frameworks using Python, Java, PyTest, Selenium.
Proficiency with cloud platforms such as AWS or Azure and CI/CD pipeline integration.
Bachelor’s or Master’s degree in Engineering, MBA, or MCA.
Experienced in leading test strategy for complex data platforms and automation frameworks.
Comfortable working in Agile teams collaborating with engineering, data, and business stakeholders.
Knowledgeable about current QA trends including AI-powered automation and integration into DevOps workflows.