Azure Data Engineer
Tasks
- Align security data with schemas governance and naming conventions
- Collaborate with detection engineering and security operations teams
- Conduct telemetry gap analyses and recommend coverage improvements
- Design scalable security data ingestion pipelines
- Ensure security telemetry integrity completeness timeliness and quality
- Implement infrastructure as code and automation for deployments
- Improve ingestion frameworks automation and onboarding processes
- Maintain documentation for log onboarding and pipeline configurations
- Monitor pipeline performance and optimize reliability and throughput
- Onboard new log sources and verify end to end data flows
- Parse normalize transform and enrich security telemetry
- Support logging practices for regulatory audit compliance retention and data integrity
- Troubleshoot ingestion parsing transformation and data quality issues
- Validate structured and unstructured security telemetry
Perks/Benefits
- Collaborative global working environment
- Cross-functional collaboration
- Exposure to large scale security telemetry
- Hands on development of automation and data quality solutions
- Professional growth
- Remote work opportunity
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Explorer | CSV | Cloud Computing | Data Explorer | Data Normalization | Data Parsing | Data Transformation | Data Validation | Incident Response | Infrastructure as Code | JSON | Log Analytics | Powershell | Python | Regex | SIEM | Schema mapping | Scripting | Security telemetry | Threat detection | XML | “as-code”
Education
N/A
Roles
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