IAA - Principal Data Engineer
Tasks
- Build production data pipelines and feature data infrastructure
- Define engineering standards and patterns
- Design and build complex data pipelines
- Diagnose and resolve performance reliability scalability issues
- Drive technical strategy for Microsoft Fabric Synapse and Power BI
- Evaluate new tools and make build buy recommendations
- Implement robust semantic models and data products
- Mentor data engineers and run design reviews
- Partner with engineering and business on data architecture tradeoffs
- Set data platform technical architecture
- Translate business problems into scalable data solutions
Perks/Benefits
Skills/Tech-stack
Azure | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Governance | Data pipeline | Dimensional Modeling | Fault-tolerant | Fault-tolerant pipelines | Infrastructure as Code | Microsoft Fabric | Observability | Performance Tuning | Power BI | Python | SQL | Scalability | Semantic Modeling | Synapse Analytics | Testing | Version control | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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