Azure Data Engineer
Tasks
- Align data to schemas naming conventions and governance standards
- Build and maintain security telemetry processing pipelines
- Conduct telemetry gap analyses and recommend improvements
- Design scalable security data ingestion pipelines
- Document log onboarding procedures and data mappings
- Ensure security telemetry integrity completeness timeliness and quality
- Improve ingestion frameworks and automation for scalability and cost efficiency
- Monitor pipeline performance and optimize reliability and throughput
- Onboard and validate log sources for SIEM and cloud platforms
- Parse normalize transform and validate security telemetry
- Support logging practices for compliance retention and auditability
- Troubleshoot ingestion parsing transformation and data quality issues
Perks/Benefits
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Explorer | CSV | Data Explorer | Data Governance | Data Normalization | Data Parsing | Data Quality | Data Transformation | Data Validation | Infrastructure as Code | JSON | Log Analytics | Powershell | Python | Regular Expressions | SIEM | Schema mapping | Scripting | Throughput Monitoring | XML | XML Parsing | “as-code”
Education
N/A
Roles
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