Found Description
Data Pipelines and Architecture
- Build, maintain, and optimise scalable data pipelines and architectures supporting analytics, reporting, and operational use cases
- Contribute to improving the overall structure and maintainability of the data platform
Data Reliability and Quality
- Design and implement automated data validation and quality checks across core datasets
- Ensure data is complete, accurate, and consistent across systems
- Investigate discrepancies and perform root cause analysis across pipelines and data stores
- Work towards establishing a single source of truth for key business metrics
Testing and Validation Frameworks
- Introduce and maintain automated testing for data pipelines, including:
- null and completeness checks
- volume and anomaly checks
- cross-system consistency validation
- Ensure validation is part ...