Data Quality & Benchmarking Engineer
Tasks
- Define and maintain test datasets
- Design and execute benchmarking scenarios
- Document test scenarios dataset assumptions and benchmark results
- Identify automation candidates for validation checks
- Measure runtime memory usage throughput scalability limits failure behavior
- Perform exploratory testing for complex user flows
- Provide release support with quality findings benchmark results risk assessments
- Review product requirements and technical designs
- Translate PRDs into validation scenarios and test plans
- Validate data processing and data quality checks
- Verify implemented features match product behavior
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | CI/CD | Data Quality | Docker | Exploratory Testing | Logging | Metrics | Observability | Pytest | Python | REST API | Regression testing | Test Planning | Time Series
Education
N/A
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