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Remote mid-level QA role with common title, metro location, and broad skillset increases applicant competition.
Automation and core QA skills transfer broadly, but SQL/DWH and data testing needs increase domain specificity.
Explicit years plus mandatory automation, SQL/DWH, language, and DevOps skills create strict shortlisting filters.
Design, develop, and automate test scenarios for customer-facing and internal software products and data flow processes.
Execute manual and automated tests, analyze results, document bugs, and collaborate with quality engineering teams to resolve issues.
Maintain and update test plans and scenarios, focusing on SQL Data Warehouse testing and software development lifecycle adherence.
2+ years of experience in a similar Quality Engineering role (5+ years and leadership experience for Lead QE).
Proficiency in QA methodologies and test management tools such as ALM, Azure DevOps, ADF, Jira/GitHub.
Experience developing automated tests using frameworks like Selenium and programming/scripting skills in C#, Java, and/or Python.
Knowledge of databases, proficient in SQL including DWH testing, plus understanding of DevOps concepts and pipelines.
Experienced in collaborative onshore/offshore team structures with resource planning and test approach review capabilities (for Lead QE).
Skilled in translating product requirements into effective test scenarios within Agile and Waterfall software development methodologies.
Demonstrates strong communication skills and attention to detail for problem identification and resolution in complex software environments.