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Mid-level, metro location, and generalist automation tester skills attract many qualified applicants.
Core automation skills transfer across industries, but ETL/data warehouse specifics increase domain specificity.
Multiple mandatory technical skills (Python, Playwright, SQL, JMeter, ETL) and domain experience required.
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Validate and reconcile data across ETL pipelines involving multiple databases (DB2, Oracle, MySQL) with complex SQL queries.
Develop, maintain, and integrate Python-based automation frameworks for ETL, API, UI (Playwright), and performance (JMeter) testing within CI/CD pipelines.
Design and execute performance, functional, API, and UI tests including dashboards validation and cross-browser testing with reporting and optimization recommendations.
Strong experience in ETL testing and data warehousing concepts.
Proficiency in Python programming and hands-on experience with Playwright for UI automation.
Strong SQL skills including joins, aggregations, and window functions; experience with API testing and automation tools.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in end-to-end testing across data pipelines and multiple testing domains (ETL, UI, API, performance) with strong automation skills.
Familiar with integrating automation into CI/CD workflows and handling complex data validation scenarios.
Has exposure to cloud tools (AWS services) and data visualization validation (Tableau or similar) indicating adaptability to evolving technology stacks.