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Strong employer brand, Bangalore metro, and common QA title increase applicant competition despite niche ETL automation requirements.
ETL automation and investment-risk domain knowledge required, moderately limiting cross-industry transferability.
Explicit 7+ years, mandatory SQL/Python ETL automation and domain knowledge enforce strict filtering.
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Develop and execute comprehensive test strategies and plans for data applications within the Investment Risk team, focusing on functional and non-functional requirements.
Conduct testing activities related to ETL processes including creation and execution of functional and automated test cases across environments.
Collaborate with developers and business analysts to log defects, prioritize and resolve issues, and maintain automation scripts using SQL and Python.
Minimum 7+ years hands-on experience in software testing with focus on automation of ETL workflows using open-source tools (numpy, pandas).
Proficiency in SQL and experience with Python preferred for test automation.
Experience with functional and automated testing of data applications and ETL processes.
Work Experience Required: 7+ years in software testing/quality engineering.
Strong logical reasoning with experience in automating tests using Python and SQL in ETL/data application contexts.
Familiarity with investment finance domain, preferably with knowledge of investment risk concepts, supporting collaboration with stakeholders.
Experience working in agile teams knowledgeable in CI/CD tools such as Jenkins or GitLab CI for deployment and testing automation.