大数据开发工程师
Tasks
- Automate data warehouse operations
- Build data agent natural language query
- Build data warehouse modeling
- Design data warehouse
- Develop AI enabled ETL
- Develop data warehouse components
- Develop real time data warehouse
- Ensure data warehouse reliability
- Implement data quality monitoring
- Integrate AI with data warehouse
- Manage metadata intelligence
- Model data warehouse requirements
- Perform technology selection for AI data
- Research data lake technology
- Support AI/data governance
- Track AI data trends
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | Anomaly Attribution | Apache Flink | Apache Spark | Data Governance | Data Lake | Data Observability | Data Quality | Data Warehouse | Data Warehouse Modeling | Data quality monitoring | Dimensional Modeling | Doris | ETL | Flink SQL | Hadoop | Hive | Java | LLM | LLM4Data | Language Processing | Linux | Metadata Management | Natural Language | Natural Language Processing | Quality monitoring | RAG | Real Time | Real Time Data Warehouse | Real-time Data | Scala | Text2SQL | TiDB | Topic Modeling | Unix | Warehouse modeling
Education
N/A
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