Data Ops Lead NEX
Houston, TX, United States
USD 143K-201K (estimate) Senior-level Full Time
Tasks
- Build Python automation for data operations monitoring
- Create and maintain runbooks operational documentation playbooks
- Define data SLAs SLOs reliability metrics
- Design backfill reprocessing failure recovery processes
- Ensure data availability accuracy freshness completeness
- Ensure security governance access control compliance
- Implement CI CD best practices for data pipelines
- Implement data quality checks validations monitoring
- Improve reliability through standardized workflows
- Lead batch and streaming workload operations
- Lead data incident response operational excellence
- Lead data incident triage mitigation root cause analysis
- Manage data infrastructure with Infrastructure as Code
- Operate and optimize GCP data services
- Own cloud data pipeline operational health
- Promote testing version control deployment standards
- Run post incident reviews and track corrective actions
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | BigQuery | CI/CD | Cloud Composer | Cloud Monitoring | Cloud Runbooks | Cloud Storage | Cloud logging | Cloud platform | Dataflow | Datastream | GKE | Google Cloud | Google Cloud Platform | IAM | Incident Management | Infrastructure as Code | Kubernetes | Networking | Observability | Pub/Sub | Python | SQL | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Roles
Data Engineer | Data Platform | Data Platform Engineer | DataOps Lead | Engineer | Lead | Platform Engineer
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