Director - Data Analytics & Engineering
Tasks
- Build semantic models and data marts
- Catalog data lineage in Microsoft Purview
- Define KPI and metric standards
- Deliver executive dashboards in Power BI
- Design data ingestion pipelines
- Develop dbt transformation workflows
- Develop medallion architecture pipelines
- Enable AI feature pipelines and model inference
- Enforce data quality standards and SLAs
- Ensure compliance for insurance data
- Implement Data Mesh architecture
- Implement data observability frameworks
- Integrate generative AI and LLM in data platform
- Lead data engineering and analytics teams
- Orchestrate batch and streaming pipelines
- Own data engineering platform end to end
- Support real time analytics and self service reporting
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics engineering | Automated testing | Azure Data | Azure Data Factory | Azure Data Lake | CI/CD | DBT | Data Contracts | Data Engineering | Data Factory | Data Governance | Data Lake | Data Marts | Data Observability | Data Pipelines | Data Quality | Data mesh | DataOps | Databricks | Delta Live Tables | Delta Live) | Dimensional Modeling | Generative AI | LLM integration | Machine Learning | Medallion Architecture | Microsoft Fabric | Microsoft Purview | OLS | Pipeline observability | Power BI | RAG | RLS | Self-Service | Self-service analytics | Semantic Modeling | Service analytics | Vector Databases
Education
N/A
Regions
Countries
States
Cities
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