Ai数据研发工程师
Tasks
- Build and maintain data platform monitoring and alerting
- Build and optimize user context data collection system
- Collaborate with business and algorithm teams for data requirements
- Configure key metrics and troubleshoot data loss transfer issues
- Design multi source data collection plans
- Develop data platform end to end pipelines
- Ensure data security compliance and backup recovery
- Implement data masking anonymization and labeling workflow
- Iterate data platform architecture using suitable frameworks
- Optimize audio and video data processing pipeline
- Process audio and video data receive parse transcode store and transfer
- Provide data quality and compliance training corpus for model training
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Flume | Apache Hadoop | Apache Kafka | Apache Spark | Backup and Recovery | Data Backup | Data Backup and Recovery | Data Governance | Data masking | Docker | Grafana | HBase | HDFS | Java | Kubernetes | Logstash | MongoDB | MySQL | Prometheus | Python | Scala | Shell Script
Education
Roles
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