Azure Data Engineer
Tasks
- Align security data with schemas naming conventions governance standards
- Collaborate with detection engineering and security operations teams
- Conduct telemetry gap analyses recommend coverage improvements
- Design build maintain security data ingestion pipelines
- Ensure security telemetry integrity completeness timeliness quality
- Improve ingestion frameworks automation onboarding processes
- Maintain documentation for log onboarding data mappings pipeline configuration
- Monitor pipeline performance optimize reliability throughput operational costs
- Onboard new log sources validate end to end data flows
- Parse normalize transform enrich validate security telemetry
- Stay current with cybersecurity telemetry formats logging standards data engineering practices
- Support infrastructure as code scripting automation
- Support logging practices for compliance audit retention data integrity
- Troubleshoot ingestion parsing transformation schema data quality issues
Perks/Benefits
- Cross-functional collaboration
- Large scale security telemetry exposure
- Professional growth
- Remote work
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Explorer | CSV | Cloud Security | Compliance | Data Enrichment | Data Explorer | Data Governance | Data Ingestion | Data Integrity | Data Parsing | Data Quality | Data Transformation | Data Validation | Data pipeline | Incident Response | Infrastructure as Code | JSON | Log Analytics | Log Management | Powershell | Python | Query Language | Regex | SIEM | Schema mapping | Scripting | Security operations | Telemetry | Threat detection | XML | “as-code”
Education
N/A
Roles
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