Data Engineer
Tasks
- Build and maintain enterprise data platform
- Build resilience and fault tolerance
- Create secure governed Power BI semantic models
- Curate and transform unstructured data for vectorization
- Design and develop data pipelines and workflows
- Develop data pipelines for model training and evaluation
- Develop unified scalable data model
- Document architecture diagrams and operational standards
- Enforce data access compliance and governance
- Implement DevOps for data workflows
- Implement data validation and quality checks
- Implement monitoring and alerting for data quality
- Maintain metadata, lineage, and documentation
- Optimize pipeline performance and data freshness
- Perform data transformations and orchestration
- Prepare data for AI machine learning and RAG
- Support data cataloging and classification
Perks/Benefits
- N/A
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | BI Semantic Model | DAX | Data Catalog | Data Factory | Data Governance | Data Lineage | Microsoft Fabric | Microsoft Purview | Power BI | Power BI Semantic Model | Power Query | Row Level Security | SQL | Semantic Model
Education
Roles
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