データ取得エンジニアリング・Data Infrastructure, AD/ADAS
Tasks
- Build data storage and processing pipelines
- Collaborate with ML and platform engineers
- Contribute to long term product strategy
- Design cloud native data ingest systems
- Develop data pipelines for large scale ingestion
- Drive best practices
- Integrate data requirements for machine learning
- Mentor junior engineers
- Optimize data serving systems
Perks/Benefits
- Car rental support
- Flexible working hours
- Housing allowance
- Paid time off
- Retirement plan support
- Training program
Skills/Tech-stack
AWS | Batch Processing | Data Governance | Data Ingestion | Data Privacy | Data Warehouse | Data pipeline | Distributed Architecture | Distributed Databases | Docker | Event Driven | Event-driven architecture | Golang | Java | JavaScript | Kubernetes | Machine Learning | Microservices | Observability | Python | Security | Stream processing | Terraform | Workflow Orchestration
Education
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