Senior Business Analytics Specialist
Tasks
- Build AI agents to automate analytics and data engineering tasks
- Build and optimize enterprise data pipelines
- Collaborate with BI leads on semantic modeling standards
- Design scalable lakehouse warehouse and semantic models
- Develop DAX and semantic model performance optimizations
- Enable trusted data products for analytics automation and AI
- Implement ELT/ETL pipelines
- Implement secure by design governance and access control
- Manage Fabric capacity and compute utilization
- Monitor and troubleshoot production data quality and performance issues
- Operate Microsoft Fabric analytics platform
- Tune Spark and Delta workloads
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Apache Spark | Azure AI | Azure AI Foundry | Azure DevOps | Azure OpenAI | CI/CD | Copilot for Fabric | DAX | Data Factory | Data Lineage | Data Quality | Data Quality Testing | DataOps | Dataflows Gen2 | Delta Lake | Direct Lake | Direct Query | Entra ID | Eventhouse | Eventstreams | Fabric notebooks | Git | GitHub Copilot | Import mode | Incremental refresh | KQL | Lakehouse | Medallion Architecture | Microsoft Entra | Microsoft Entra ID | Microsoft Fabric | Microsoft Purview | Observability | OneLake | Parquet | Power BI | PySpark | Quality testing | RAG | RBAC | Real Time | Real-time intelligence | Security and Compliance | Sensitivity Labels | Spark SQL | T-SQL | Time intelligence | Vector Search | Vertipaq | Warehouse
Education
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