Azure Data Engineer
Tasks
- Align telemetry with schemas and governance standards
- Build security telemetry parsing normalization transformation enrichment validation
- Conduct telemetry gap analyses and recommend improvements
- Design scalable security data ingestion pipelines
- Ensure security telemetry integrity completeness timeliness and quality
- Maintain documentation for log onboarding data mappings pipelines and support
- Monitor pipeline performance and optimize ingestion reliability throughput and cost
- Onboard log sources and validate end to end data flows
- Support infrastructure as code and automation for deployments and pipeline maintenance
- Troubleshoot ingestion parsing transformation schema and data quality issues
Perks/Benefits
- Cross-functional collaboration
- Exposure to large scale security telemetry
- Hands on opportunities with automation and infrastructure as code
- Professional growth
- Remote work opportunity
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Explorer | CSV | Data Enrichment | Data Explorer | Data Ingestion | Data Normalization | Data Parsing | Data Quality | Data Transformation | Data Validation | Infrastructure as Code | JSON | Log Analytics | Powershell | Python | Regex | SIEM | SQL | Schema mapping | Scripting | Security telemetry | XML | “as-code”
Education
N/A
Roles
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