Senior Business Intelligence Engineer, Devices Demand Science Optimization
Tasks
- Architect production data pipelines
- Build MCP servers and tool schemas
- Build and maintain QuickSight dashboards
- Create AI powered automated reporting
- Design semantic layers for AI agents
- Detect drift and trigger alerts
- Develop retrieval augmented context pipelines
- Generate WBR narratives and executive summaries
- Implement data quality, validation, and monitoring
- Integrate RAG and function calling patterns
- Maintain single source of truth data models
- Optimize freshness and cost
- Orchestrate pipeline schedules across systems
- Translate business requirements into data solutions
Perks/Benefits
- 401k matching
- Dental insurance
- EAP
- Health insurance
- Mental health support
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AWS | Agent systems | Amazon Athena | Amazon QuickSight | Amazon Redshift | Anomaly Detection | Apache Iceberg | Data Drift | Data Drift Detection | Data Mining | Data Modeling | Data Quality | Data Visualization | Data Warehousing | Data pipeline | Data pipeline orchestration | Demand Planning | Drift Detection | ETL | Forecasting | Function Calling | Information Retrieval | LLMs | Machine Learning | Multi-Agent | Multi-Agent Systems | Oracle | Pipeline Orchestration | Python | RAG | SQL | Tableau
Education
N/A
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