数据管线高级工程师
Tasks
- Build data lake ingestion and training data management platform
- Build offline and real time data processing systems
- Collaborate with machine learning teams to deliver data for model iteration
- Design and build data end to end pipeline
- Design data models and metadata management
- Develop data cleaning labeling quality check and data mining toolchains
- Develop distributed data storage and query solutions
- Implement data collection synchronization cleaning and standardization
- Implement data version control and lineage tracking
- Optimize large scale data transmission memory and IO performance
- Provide production and research data support
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Iceberg | Batch Processing | Caching | Columnar Storage | Data Lake | Data Mining | Data Modeling | Data Quality | Data Standardization | Data cleaning | Data labeling | Distributed Systems | Docker | ETL | GitHub | Go | Java | Kafka | Kubernetes | Lance | Log Collection | Metadata Management | MongoDB | MySQL | PostgreSQL | Pulsar | Python | Query engines | RabbitMQ | Real Time | Real-time Processing | Redis | Snapshot Isolation | Stream processing | Table Partitioning | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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