QA Engineer - Data Platforms (Databricks)
Tasks
- Define testing strategy test cases and test data
- Design automated testing frameworks
- Execute data quality testing
- Improve automation and quality engineering practices
- Monitor testing progress quality metrics defects and release readiness
- Own end to end pipeline validation across data layers
- Run integration regression end to end tests
- Track and communicate quality risks with stakeholders
- Validate data transformations
- Validate enterprise data platforms
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Batch data | Batch data pipelines | Data Pipelines | Data Quality | Data Reconciliation | Databricks | Delta Lake | Jira | PySpark | Python | SQL | Schema Validation | Source to Target | Source-to-Target Mapping | Target Mapping | Test automation | Xray
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Science | Bachelor of Science in Engineering | Bachelor of Science in Information Systems
Roles
Data Quality | Data Quality Engineer | Engineer | QA Engineer | Quality Engineer
Regions
Countries
States
Cities
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