Data Engineer
Tasks
- Build Power BI semantic models and reports
- Build data pipelines
- Design reporting platform
- Develop cost rate database solution
- Develop master and reference data
- Establish DevOps and platform operations
- Implement data governance
- Implement data quality controls
- Implement row level security
- Maintain documentation and support handover
- Model lakehouse and warehouse data
- Perform monitoring alerting and release management
- Profile cleanse transform validate data
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Alerting | Auditability | Automated testing | Azure Data | Azure Data Factory | Azure DevOps | Azure SQL | Azure Synapse | Azure Synapse Analytics | CI/CD | DAX | Data Factory | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Validation | Data Warehousing | Data orchestration | Databricks | DevOps | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Lakehouse | Master Data | Master Data Management | Metadata Management | Microsoft Fabric | Microsoft Purview | Monitoring | Power BI | Privacy | PySpark | Python | Reconciliation | Release Management | Row Level Security | SQL | Semantic layer | Spark | Synapse Analytics | Terraform | “as-code”
Education
N/A
Roles
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