Azure Data Engineer
Tasks
- Align security data with schemas and governance standards
- Conduct telemetry gap analyses and recommend improvements
- Design scalable security data ingestion pipelines
- Document log onboarding procedures and data mappings
- Ensure telemetry integrity completeness timeliness and quality
- Improve ingestion frameworks and automation processes
- Maintain security data ingestion pipelines
- Monitor pipeline performance and optimize reliability throughput and cost
- Onboard log sources and validate end to end data flows
- Parse normalize transform enrich validate security telemetry
- Support regulatory audit compliance retention and data integrity requirements
- Troubleshoot ingestion parsing transformation and data quality issues
Perks/Benefits
- Cross-functional collaboration
- Exposure to large scale security telemetry
- Professional growth
- Remote work opportunity
Skills/Tech-stack
Automation | Azure | Azure Data | Azure Data Explorer | Azure Log Analytics | CSV | Cloud Security | Compliance | Data Explorer | Data Governance | Data Ingestion | Data Normalization | Data Parsing | Data Quality | Data Quality Management | Data Transformation | Data Validation | Incident Response | Infrastructure as Code | JSON | Log Analytics | Log Management | Powershell | Python | Quality management | Query languages | Regex | SIEM | Schema mapping | Scripting | Security telemetry | Threat detection | XML | “as-code”
Education
N/A
Roles
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