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Multiple amplifiers: Tier-1 brand, metro location, mid-level range, and common QA automation title increase competition.
ETL testing, data quality, SQL and cloud skills are broadly transferable across industries, moderately domain-specific.
Explicit 4-8 years plus mandatory ETL, SQL, automation, and cloud skills make filters strict.
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Lead test strategies for data-intensive systems, focusing on quality and compliance.
Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud data platforms integrated with CI/CD workflows.
Collaborate with engineering, data, and business teams in Agile environments, report QA metrics, and provide risk-based release readiness recommendations.
4-8 years of professional experience.
Bachelor's degree in Technology (B.Tech) or equivalent; M.Tech, MBA, or MCA also mentioned.
Strong skills in ETL testing, data quality, SQL, ETL tools, and test automation using Python, Java, PyTest, Selenium.
Experience with cloud platforms (AWS, Azure), CI/CD tools (Jenkins, GitHub Actions, Azure DevOps), and Agile/Scrum practices.
Experienced in leading automation testing and quality assurance for data and analytics initiatives within Agile teams.
Skilled in scalable test automation integrating ETL/data pipelines with cloud platforms and CI/CD automation.
Comfortable collaborating with cross-functional teams including engineering, data scientists, and business stakeholders to ensure data quality and compliance.