Data Engineer (BI)
Tasks
- Build semantic data models metrics layers
- Create technical design documentation
- Define and govern KPI metrics glossary
- Design data warehouse infrastructure
- Develop and optimize dashboards and reports
- Enable analytics and AI ML use cases via data models
- Ensure data quality testing observability
- Implement row-level security and access controls
- Maintain production dashboards workbooks
- Support self service analytics for business users
- Translate analytics requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
ANSI SQL | Access Control | Azure DevOps | Business Intelligence | Data Modeling | Data Pipelines | Data masking | Databricks | Databricks Vector Search | Dimensional Modeling | ELT | Encryption | GitHub | Materialized views | Model Serving | Power BI | Python | RLS | Role-Based Access | Role-Based Access Control | Row Level Security | SQL | Semantic Modeling | Sigma | Spark SQL | T-SQL | Vector Search
Education
Roles
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