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Tier-1 brand, mid-level generalist QA, metro location, and broad skillset increase candidate competition.
Core automation skills (Python, pytest, SQL, CI/CD) are highly transferable across industries; banking knowledge optional.
Explicit 3–6 years, mandatory Python/pytest/SQL and CI/CD increase filter strictness.
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Design, develop, and maintain automated test scripts and frameworks using Python and SQL to ensure quality of data infrastructure applications.
Integrate automated tests into CI/CD pipelines (e.g., GitHub workflows, Jenkins) for continuous testing and deployment.
Analyze test results and improve test coverage, traceability, and efficiency while collaborating with development and QA teams.
Bachelor’s degree in Computer Science, Engineering, or related field.
3-6 years of experience in test automation.
Proficiency in Python (pyTest, great_expectation, pandas) and ability to write complex SQL queries.
Experience with version control (Git), CI/CD tools (GitHub workflow, Jenkins), and knowledge of BDD/TDD methodologies.
Experienced in Agile/Scrum environments and able to collaborate effectively with development and QA teams.
Familiarity or willingness to work with cloud-based data platforms like GCP BigQuery, Snowflake, Databricks, or open-source DBT is a plus.
Background or understanding of Banking & Finance domain is advantageous.