Own full testing lifecycle: plan, execute, triage, verify releases.
Design tests for data pipelines, APIs, and analytics.
Build automated test suites (Python, JavaScript, Playwright) for frontend/backend/data.
Validate data end-to-end from ingestion to dashboards (Parquet/Iceberg).
Run stress/performance tests for high-volume data, APIs, real-time charts.
Set up test case management and coverage tracking; enforce QA practices.

🎯 Requirements

5+ years QA experience delivering scalable production software.
Proficiency in Python, JavaScript, and test automation frameworks.
Experience testing data pipelines and data-heavy applications.
SQL/relational databases knowledge to verify data correctness.
Strong CI/CD, testing philosophy, and bug tracking practices.
Experience with cloud-native infrastructure (AWS, S3, Kubernetes).

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