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Generalist senior QA title and common Python/SQL skills increase applicant density, moderate brand, likely metro.
QA automation and SQL skills are broadly transferable across industries, though domain knowledge adds modest sensitivity.
Multiple mandatory technical skills (Python, PyTest, SQL, Snowflake, ADO) but no strict years specified.
Develop, execute, and maintain automated test scripts using Python and PyTest framework for functional, integration, regression, API, and data validation testing.
Perform SQL-based validations across databases, ETL/data pipelines, Snowflake/data warehouse, and reporting outputs ensuring data accuracy and completeness.
Manage test cases, defects, testing tasks, and traceability using Azure DevOps (ADO) or Jira including documentation, defect triage, root cause analysis, and reporting quality metrics.
Strong Python programming skills with hands-on PyTest automation framework experience.
Proficient in SQL for database and ETL validation including reconciliation and complex queries.
Experience with Azure DevOps (ADO) or Jira for test case management, defect tracking, and sprint visibility.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end QA across software, data, API, ETL, and reporting solutions in Agile/Scrum environments.
Skilled in test automation design and maintenance focused on regression and data validation with strong defect lifecycle management.
Familiarity with data warehouse technologies (Snowflake), API testing, and report/dashboard validation (Power BI/Tableau) is a plus.