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Metro location, mid-level generalist QA automation title, and broad skill requirements increase candidate competition.
Core automation, Python, SQL and AWS skills transfer across industries, though financial domain knowledge is only nice-to-have.
Explicit minimum years plus mandatory Python, SQL, AWS and data-validation skills create moderately strict shortlisting filters.
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Ensure accuracy and quality of investment calculation data across multiple database systems using data validation and root cause analysis.
Develop and maintain automated test frameworks and scripts to support modernization efforts and ensure alignment with complex business logic.
Own the QA lifecycle for assigned components, providing testing governance and automation strategies to engineering teams.
Bachelor's degree in Computer Science or related field.
1-3 years of Python development experience in a commercial environment.
Minimum 2 years of experience with SQL and relational databases.
Experience with AWS cloud architecture components (Lambdas, ECS, EC2, Fargate, S3, RDS, API Gateway, etc.).
Experienced in analyzing and validating large-scale datasets in complex distributed systems.
Skilled in designing and implementing test automation frameworks aligned with modern cloud-first architectures.
Familiarity with investment calculation domain and able to leverage domain insights to enhance test coverage and accuracy.