Back
Metro Bangalore and known financial brand increase applicant density, though role's seniority and ETL specialization limit it.
ETL and Python testing skills broadly transferable, but finance and investment risk knowledge increases domain specificity.
Explicit 7+ years requirement plus mandatory SQL, Python, and ETL testing skills make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and execute test strategies and plans for data applications within the Investment Risk team, ensuring functional and non-functional requirements are met.
Automate and perform testing activities including functional tests and defect logging, focusing on ETL workflows and collaborating with developers and business analysts to validate new features and bug fixes.
Maintain automation scripts primarily using SQL and Python, participate in meetings to report on testing progress and risks, and stay updated on testing tools and industry trends.
7+ years of hands-on experience in software testing with automation focus on ETL workflows using open-source tools like numpy and pandas.
Proficiency in SQL querying and advanced understanding of relational databases.
Experience with Python and SQL programming languages, and familiarity with CI/CD tools such as Jenkins or GitLab CI.
Work Experience Required: 7+ years.
Experienced Quality Engineer comfortable working individually within a chapter model focused on test execution and automation in financial data applications.
Has strong technical skills in SQL, Python, ETL process testing, and automation scripting with exposure (preferred) to PySpark and cloud platforms like AWS or Azure.
Possesses domain knowledge or strong interest in finance investment and investment risk concepts to enhance testing relevance.