Azure Data Engineer
Tasks
- Align data with schemas naming conventions governance standards
- Conduct telemetry gap analyses and recommend improvements
- Design scalable security data ingestion pipelines
- Ensure compliance retention auditability data integrity
- Ensure telemetry integrity completeness timeliness quality
- Improve ingestion frameworks automation onboarding processes
- Maintain log onboarding documentation data mappings pipeline configurations
- Monitor pipeline performance optimize reliability throughput operational costs
- Onboard and optimize log sources
- 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 telemetry investigation threat detection incident response use cases
- Troubleshoot ingestion parsing transformation schema data quality issues
Perks/Benefits
- Collaborative global working environment
- Cross-functional collaboration
- Exposure to large scale telemetry
- Professional growth
- Remote work opportunity
Skills/Tech-stack
Automation | Azure Data | Azure Data Explorer | CSV | Cloud Security | Data Explorer | Data Ingestion | Data Quality | Data Transformation | Data Validation | Incident Response | Infrastructure as Code | JSON | Log Analytics | Powershell | Python | Regular Expressions | SIEM | Schema mapping | Security telemetry | Threat detection | XML | “as-code”
Education
N/A
Roles
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