数据开发工程师（AI Agent方向）
Tasks
- Apply query optimization with operator pushdown
- Build dimensional models
- Build few shot sample libraries
- Construct vectorized data dictionaries
- Create data tool libraries for AI agents
- Design data warehouse architecture
- Develop ETL pipelines
- Develop backend scripts for AI workloads
- Develop data pipelines for RAG
- Develop standardized data query APIs
- Govern metadata and business metric dictionaries
- Handle concurrency timeout retry logic
- Implement data quality monitoring for AI QA
- Intercept queries using AST
- Optimize retrieval augmented generation
- Sample result sets for verification
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | AST | Data Dictionary | Data Governance | Data Modeling | Data Quality | Data quality control | Data quality monitoring | DeepSeek API | Dimensional Modeling | ETL | FastAPI | Few-Shot Learning | Few-shot | Flask | Kimball Method | LLM API | Metadata Management | OpenAI API | Operator Pushdown | Prompt engineering | Python | Quality Control | Quality monitoring | RAG | Retrieval-Augmented Generation | SQL | Vector Database | Vectorization
Education
N/A
Roles
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