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Recognizable global brand and metro location increase competition, but seniority and niche data-QA skills limit applicant pool.
Medium; core QA and data-testing skills are transferable, but enterprise systems and Salesforce experience add domain bias.
High due to explicit 10+ years and required automation, ETL, SQL, API and leadership skills.
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Lead end-to-end quality assurance delivery for GBS & Data Lake platforms ensuring high-quality, scalable, and defect-free enterprise solutions.
Define and drive QA standards, automation frameworks, and test strategies including functional, regression, integration, ETL, and data validation testing.
Provide leadership and mentorship to QA teams while actively participating in testing activities, defect triage, and quality transformation programs.
10+ years of Quality Test Analyst experience.
Bachelor’s Degree in Engineering (B.E./B.Tech) or equivalent mandatory; higher qualifications preferred (M.Tech/MCA/MS).
Strong expertise in manual and automation testing, SQL, ETL/data pipeline testing, API testing, and experience with Selenium, PyTest, TestNG or equivalent tools.
Exposure to cloud platforms (Azure/AWS/GCP), CI/CD pipelines, Agile and DevOps practices mandatory; knowledge of Big Data technologies preferred.
Experienced senior QA professional with proven leadership in enterprise-scale QA teams and initiatives.
Strong background in testing data-intensive platforms especially involving ETL, data lakes, and cloud-based architectures.
Operationally adept at balancing hands-on testing, automation framework development, and strategic QA governance in complex technical environments.