Lead Data Engineer (019-878)
Tasks
- Configure data observability and runbooks
- Coordinate build and run workstreams
- Govern code quality for UAT
- Lead sprint demonstrations
- Manage dataset delivery backlog
- Onboard new datasets
- Own DataHub SLA performance
- Own build to run dataset handover
- Own dbt project architecture
- Provide final escalation for critical incidents
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Azure Data | Azure Data Factory | CI/CD | Claude | Cursor | DBT | DBT Cloud | Data Factory | Data Modelling | Data Observability | Data Quality | Data masking | Dimensional Modelling | Dynamic data | Dynamic data masking | Git | GitHub Actions | GitHub Copilot | Medallion Architecture | Pipeline monitoring | Python | RBAC | SQL | Snowflake | Snowflake Tasks | Snowpark
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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