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Tier-1 brand, Bangalore metro, and a mid-level generalist QA automation role increase candidate competition.
Core automation and SQL skills transfer, but finance investment risk and ETL specialization increase domain specificity.
Mandatory 7+ years and required automation, SQL, Python, ETL skills make screening stringent.
Develop and execute comprehensive test strategies and plans for data applications within the Investment Risk team, focusing on both functional and non-functional requirements.
Create and execute functional and automated test cases for ETL workflows and data applications, logging defects and working with PMs and developers to resolve them.
Develop and maintain automation scripts (preferably using SQL and Python), and participate in team meetings to discuss testing progress and risks.
Minimum 7+ years of hands-on software testing experience, including automation testing for ETL workflows using open-source tools (e.g., numpy, pandas).
Proficiency in relational databases and SQL query writing and understanding.
Knowledge of Python programming for test automation.
Work Experience Required: 7+ years of software testing experience including hands-on automation for ETL processes.
Experience with investment and finance domains, preferably with knowledge of investment risk concepts.
Familiarity with cloud platforms such as AWS or Azure and CI/CD tools like Jenkins or GitLab CI for automated deployment and testing.
Strong logical reasoning and problem-solving skills demonstrated through managing complex test strategies in a data-intensive environment.