Senior Data & Analytics Engineer
Tasks
- Build ETL/ELT workflows
- Build customer facing dashboards
- Build data exports
- Create semantic models and KPIs
- Deliver embedded analytics
- Design Lakehouse architecture
- Develop data contracts
- Enable governed self service analytics
- Implement data quality monitoring
- Implement testing validation monitoring alerting
- Manage version control for BI assets
- Modernize BI solutions
- Optimize DAX performance
- Own data platform end-to-end
- Reduce technical debt
- Reverse engineer vendor BI pipelines
- Set up CI CD for data pipelines
Perks/Benefits
Skills/Tech-stack
Alerting | Apache Spark | Azure Data | Azure Data Lake | BI Data modeling | CI/CD | DAX | Data Contracts | Data Lake | Data Modeling | Data Observability | Data Quality | Data Testing | Data models | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Embedded Analytics | Git | Great Expectations | Kimball methodology | Lakehouse Architecture | Microsoft Azure | Microsoft Fabric | Monitoring | Multi tenant data models | Multi-tenant | Performance Tuning | Power BI | Power BI Data | Power BI data modeling | PySpark | SQL | Semantic models | Version control
Education
N/A
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