Back
Strong brand, metro location, mid-level range, and generalist data QA skills increase competition.
ETL testing and automation skills transfer across industries but require data-specific knowledge, so medium sensitivity.
Explicit 4–8 years plus mandatory ETL, automation, cloud and SQL skills enforce high strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define and lead test strategies for data-intensive systems ensuring quality and compliance.
Design and implement scalable automation frameworks for ETL/ELT pipelines and cloud-based data platforms integrated with CI/CD workflows.
Collaborate with cross-functional teams in Agile environments and report QA metrics with risk-based release recommendations.
4-8 years of experience in ETL testing, data quality, and test automation.
Proficiency in SQL, ETL tools, test automation tools like Playwright, Java, PyTest, Selenium.
Solid understanding of cloud platforms (AWS, Azure) and CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps.
Bachelor's or Master’s degree in Engineering, Technology or related fields (B.Tech, M.Tech, MBA, MCA).
Experienced in designing and leading QA automation strategies for large-scale data platforms.
Skilled in integrating automated tests within CI/CD pipelines in Agile/Scrum environments.
Capable of collaborating effectively with engineering, data, and business teams and providing data-driven QA metrics and risk assessments.