数据挖掘平台工程架构开发工程师
Tasks
- Build and optimize distributed computing engines
- Design and develop data mining platform architecture
- Develop and optimize data processing pipelines
- Develop and optimize storage systems
- Implement engineering automation deployment monitoring and alerting
- Integrate data mining models into production
- Optimize platform resource utilization and processing latency
- Perform fault troubleshooting and version iteration
- Tune performance and resolve bottlenecks
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Kafka | Apache Spark | Automation tools | CI/CD | Database Design | Database optimization | Distributed Systems | Docker | Go | Hadoop | Java | Kubernetes | Performance Tuning | Python
Education
Roles
Backend | Backend Engineer | Data Platform | Data Platform Engineer | Engineer | Platform Engineer
Regions
Countries
States
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