Azure Data Engineer
Tasks
- Align telemetry to schemas naming conventions governance standards
- Build maintain security telemetry processing pipelines
- Conduct telemetry gap analysis recommend security coverage improvements
- Design scalable security data ingestion pipelines
- Ensure telemetry integrity completeness timeliness quality
- Maintain documentation for log onboarding mappings configurations operations
- Monitor pipeline performance optimize ingestion reliability throughput cost
- Onboard and validate log sources end to end
- Parse normalize transform enrich validate telemetry
- Support logging practices for compliance retention auditability data integrity
- Troubleshoot ingestion parsing transformation schema issues
Perks/Benefits
- Cross-functional collaboration
- Exposure to infrastructure as code and automation
- Professional growth
- Remote work
- Work on large scale security telemetry
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Explorer | CSV | Data Explorer | Data Governance | Data Ingestion | Data Quality | Data Transformation | Data Validation | Infrastructure as Code | JSON | Log Analytics | Powershell | Python | Regex | SIEM | Schema Validation | Schema mapping | Scripting | Troubleshooting | XML | “as-code”
Education
N/A
Roles
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