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Metro location plus generalist QA title increases candidate competition despite niche cloud-data testing skills.
Cloud-data engineering and Snowflake expertise increases domain bias, but core QA skills remain transferable.
Requires specific cloud, data, automation, and API/DB testing experience, making filters strict.
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Own end-to-end quality assurance for cloud-native enterprise data platforms including data pipelines, semantic services, APIs, and web interfaces.
Develop, execute, and automate functional, integration, regression, performance, scalability, and security tests across data ingestion and transformation layers.
Collaborate closely with architects, developers, and stakeholders to define test strategies, track defects, validate fixes, and support release activities.
Strong experience in Functional, Integration, System, Regression, API, and Database Testing.
Experience testing cloud-native applications on AWS and validating ETL/ELT pipelines and data quality.
Proficient with test automation frameworks (e.g. Playwright, Selenium) and API testing tools (e.g. Postman, Swagger).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in testing complex data engineering and analytics platforms with familiarity in Snowflake and cloud data warehouses.
Knowledgeable about semantic layers, metadata management, data governance, and modern data platform concepts.
Comfortable with API, database, CI/CD pipeline testing, and collaborating in DevOps environments.