Senior Data & Analytics Engineer
Tasks
- Analyze patterns and anomalies
- Build Power BI semantic models
- Build data platform
- Create embedded analytics
- Create monitoring and alerting
- Define data contracts
- Design ETL/ELT workflows
- Develop customer dashboards
- Develop data products for customers
- Enable governed self service analytics
- Ensure data quality and reliability
- Implement CI/CD for data pipelines
- Implement data observability
- Maintain data governance
- Modernize BI capabilities
- Operate robust data pipelines
- Optimize DAX performance
- Optimize pipeline performance
- Rebuild into product grade architecture
- Reverse engineer vendor BI solution
- Set up testing and validation
- Use Git/version control
Perks/Benefits
- Continuous learning
- Flexible working environment
- Fully Remote Working Environment
- High autonomy
- International team collaboration
- Two annual team events for in person collaboration
Skills/Tech-stack
Alerting | Apache Spark | Azure | CI/CD | DAX | Data Contracts | Data Governance | Data Modeling | Data Observability | Data Quality | Data models | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Embedded Analytics | Git | Great Expectations | Kimball methodology | Lakehouse Architecture | Microsoft Fabric | Monitoring | Multi tenant data models | Multi-tenant | Performance optimization | Power BI | PySpark | Reverse Engineering | SQL | Testing | Version control
Education
N/A
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