Senior Analytics Engineer - Operations
Tasks
- Assess prioritise operational improvements by business impact
- Build monitoring alerting observability operational reporting
- Design automation reduce manual operational overhead
- Embed DataOps operational excellence into delivery
- Establish operational lifecycle management data products assets
- Implement incident management triage root cause analysis
- Improve operational visibility pipelines dependencies scheduling
- Improve reliability scalability maintainability data products pipelines
- Support data resilience through standardisation documentation tooling
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Alerting | Automation | BigQuery | CI/CD | Cause analysis | Data Lineage | Data Modeling | Data Quality | Data Warehousing | DataOps | DevOps | ELT | ETL | GCP | Incident Management | Infrastructure as Code | Metadata | Monitoring | Observability | Python | Real Time | Real-time Data | Redshift | Root Cause Analysis | Root cause | SQL | Streaming Data | Workflow Orchestration | “as-code”
Education
N/A
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