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Niche GCP/data QA skills reduce applicant pool but common QA senior title keeps competition medium.
Specialized GCP and data QA skills moderately limit cross-industry transferability.
Mandatory GCP/data automation skills and bachelor's degree create strict technical shortlisting.
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Lead end-to-end QA for legacy-to-GCP migration projects, validating data pipelines, APIs, and workflows across core GCP services.
Design and execute comprehensive functional, data, and regression test suites ensuring full data completeness, schema accuracy, and transformation validation in multi-layer ETL pipelines.
Perform GCP security and IAM validations, including encryption, audit logging, service accounts, and access control to maintain compliance and governance.
Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or Information Technology.
Experience leading QA for cloud migration initiatives, specifically involving GCP services such as BigQuery, GCS, Pub/Sub, Cloud SQL, and Dataflow.
Familiarity with test automation using Python, BigQuery SQL, and CI/CD pipelines.
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in end-to-end QA within cloud data migration contexts, specifically on GCP platforms.
Ability to collaborate effectively with engineering and product teams in Agile environments, managing defect trends and release readiness.
Experience leveraging AI tools to accelerate QA processes, including test case creation and defect triage.