数据后端工程师
Tasks
- Build and maintain large scale data storage systems
- Build distributed data processing workflows
- Collaborate with machine learning teams to optimize data loading and throughput
- Create monitoring and alerting systems for data pipeline observability
- Design backend architecture for embodied intelligence data platform
- Design data pipelines for multimodal data ingestion processing indexing
- Implement data version control and data governance
- Optimize task scheduling and resource utilization
Perks/Benefits
Skills/Tech-stack
AWS | Alerting | Alibaba Cloud | Arrow | CI/CD | Data Annotation | Data Cleansing | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Warehouse | Docker | ETL | Flink | GCP | Git | Java | Kubernetes | Linux | Monitoring | Object storage | Parquet | PostgreSQL | Python | Ray | Spark | TFRecord
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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