Lead Data & AI Ops Engineer, Data & AI Engineering
Tasks
- Administer Snowflake including RBAC
- Build and automate data workflows
- Coordinate stakeholder communication during incidents
- Implement observability monitoring and alerts
- Manage change release and RCA
- Monitor Snowflake and data pipelines
- Optimize platform cost and FinOps
- Own data and AI operations
- Perform data quality checks and reconciliation
- Provide production support and incident response
- Support DataOps MLOps and AIOps practices
- Troubleshoot query performance and failures
Perks/Benefits
- Hybrid work
- Office based days requirement
- On-call support
- Standard shift 12pm to 9pm
- Weekend on call rotation
Skills/Tech-stack
AIOps | API | Alerting | Anomaly Detection | Apache Airflow | Azure Data | Azure Data Factory | CI/CD | Cause analysis | Change Management | DBT | Data Factory | Data Governance | Data Lineage | Data Quality | DataOps | ELT | ETL | FinOps | Fivetran | Incident Management | Informatica | Log Analysis | Looker | MLOps | Metadata Management | Monitoring | Observability | Power BI | Problem Management | Python | RBAC | RPA | Release Management | Root Cause Analysis | Root cause | SQL | Snowflake | Test automation
Education
N/A
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