[XC-AS] DataOps Engineer - ADAS Data Platform
Yokohama, Kanagawa, Japan
JPY 2760K-5268K (estimate) Mid-level Full Time
Tasks
- Build dashboards monitoring alerting and runbooks
- Deliver reliable data
- Ensure data freshness completeness correctness and processing performance
- Improve observability automation and recovery and reprocessing
- Manage incident response troubleshooting and root cause analysis
- Monitor and improve data pipeline health
- Operate labeling workflows and machine learning recompute workflows
- Own platform operations
- Support data ingestion preprocessing harmonization and dataset production
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Argo Workflows | Azure Monitor | Azure Resource | Azure Resource Manager | Azure Storage | Bash | Bicep | Cause analysis | Data Lifecycle Management | Data Pipeline Monitoring | Data Quality | Data Quality Validation | Data labeling | Data lifecycle | Data pipeline | Databricks | Docker | ELT | ETL | Git | GitHub | Incident Response | Kubernetes | Lifecycle Management | Linux | Machine Learning | Metadata Management | Microsoft Azure | Pipeline monitoring | Powershell | Python | Quality validation | Resource manager | Root Cause Analysis | Root cause | SQL | Spark | Terraform | Troubleshooting
Education
N/A
Roles
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