Senior Data & Analytics Engineer
Tasks
- Build and maintain data pipelines and lakehouse architecture
- Create and maintain Power BI semantic models and KPIs
- Create modular scalable data products
- Define data contracts and data architecture principles
- Design build and operate ETL ELT workflows
- Develop customer facing dashboards and embedded analytics
- Ensure data quality and reliability
- Implement governed self service analytics
- Implement observability performance and architectural standards
- Implement testing validation monitoring and alerting
- Migrate from vendor built BI solution
- Monitor anomalies patterns and data insights
- Optimize DAX and dataset refresh processes
- Own data platform end-to-end
- Reduce technical debt and rebuild product grade architecture
- Reverse engineer pipelines logic and reports
- Set up CI CD version control for data pipelines and BI assets
Perks/Benefits
- Collaboration and inclusion culture
- Continuous learning
- Flexible work approach
- Fully Remote Working Environment
- High autonomy
- International and diverse team
- Team events for in person collaboration
Skills/Tech-stack
Azure | CI/CD | DAX | Data Contracts | Data Governance | Data Modeling | Data Quality | Data models | Databricks | Delta Lake | Dimensional Modeling | ELT | ETL | Embedded Analytics | Git | Great Expectations | Kimball methodology | Lakehouse Architecture | Microsoft Fabric | Multi tenant data models | Multi-tenant | Observability | Performance Tuning | Power BI | PySpark | SQL | Spark
Education
N/A
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