データ取得エンジニアリング・Data Infrastructure, AD/ADAS
Tasks
- Build data storage and data processing systems
- Collaborate with data infrastructure engineers and ML platform engineers
- Contribute to long-term platform strategy
- Design cloud native data ingest pipelines
- Drive best practices
- Maintain optimize and support data serving systems
- Mentor junior engineers
- Tune data ecosystems for machine learning requirements
Perks/Benefits
- Flexible working hours
- Housing allowance
- Paid time off
- Rental car support
- Retirement plan
- Training support
Skills/Tech-stack
AWS | Batch Processing | Data Governance | Data Privacy | Data Warehouse | Data ingest | Data pipeline | Distributed Systems | Distributed database | Docker | Event Driven | Event-driven architecture | Golang | Java | JavaScript | Kubernetes | Microservices | Observability | Python | Reliability Engineering | Security | Site Reliability | Site Reliability Engineering | Stream processing | Terraform | Test automation | Workflow Orchestration
Education
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