大数据开发工程师
Tasks
- Build AI powered ETL assistance
- Build data lake pipelines
- Design data warehouse
- Develop AI data agents
- Develop data warehouse modeling
- Enable natural language data queries
- Ensure data warehouse data accuracy stability
- Evaluate data warehouse components
- Implement data quality monitoring
- Implement data warehouse pipelines
- Implement real time data warehouse
- Integrate AI with data engineering
- Manage metadata intelligently
- Perform technical selection and deployment
- Plan data warehouse architecture
- Set up intelligent operations and maintenance
- Track AI data technologies
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Apache Flink | Apache Spark | Data Governance | Data Lake | Data Modeling | Data Processing | Data Quality | Dimensional Modeling | Doris | ETL | Flink SQL | Hadoop | Hive | Java | LLM | LLM4Data | Language Processing | Linux | Metadata Management | Natural Language | Natural Language Processing | RAG | Real Time | Real-time Data | Real-time Data Processing | Scala | Text2SQL | TiDB | Topic Modeling | Unix
Education
N/A
Roles
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