小米汽车-数据研发工程师
Tasks
- Build data warehouse architecture
- Build log tracking and data collection
- Build shared data platform
- Create data visualizations
- Define data and quality standards
- Design and develop metadata management
- Design and perform data quality checks
- Design data models
- Develop data marts
- Develop offline data processing
- Develop real-time data processing
- Implement data classification management
- Perform data cleaning and standardization
- Provide data services
- Support data pipeline development ETL
Perks/Benefits
- N/A
Skills/Tech-stack
Data Modeling | Data Processing | Data Quality | Data Visualization | Data Warehouse | Data cleaning | Distributed Computing | Doris | ETL | Elasticsearch | Flink | HBase | Hadoop | Hive | Iceberg | Java | Metadata Management | Performance Tuning | Python | Real Time | Real-time Data | Real-time Data Processing | SQL | Spark | Trino
Education
N/A
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