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Known finance firm in Bangalore and common automation skillset produce moderate applicant competition.
Strong preference for investment and risk domain knowledge makes cross-industry fit less transferable.
Mandatory 7+ years, SQL/Python automation, ETL and finance domain preferences raise shortlisting strictness.
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Develop and execute comprehensive test strategies and plans for data applications within the Investment Risk team.
Create and execute functional and automated test cases, focusing on ETL processes and data validation, using SQL and Python.
Collaborate with developers and business analysts to log, prioritize, and resolve defects ensuring timely project deliveries.
7+ years of hands-on experience in software testing with a focus on ETL workflow automation using open-source tools like numpy and pandas.
Proficiency in SQL querying and experience developing automation scripts in Python; Pyspark experience is a plus.
Working knowledge of cloud platforms such as AWS and Azure.
Familiarity with CI/CD tools like Jenkins or GitLab CI.
Experienced in testing within finance investment domain, preferably with understanding of investment risk concepts.
Individual contributor comfortable working collaboratively with cross-functional teams to analyze requirements and translate them into test cases.
Technically adept with strong logical reasoning and problem-solving skills, focusing on automating testing and continuous deployment workflows.