Azure Data Engineer
Tasks
- Align security data with schemas naming conventions and governance standards
- Design build and maintain security data ingestion pipelines for SIEM and cloud data platforms
- Ensure telemetry integrity completeness timeliness and quality
- Maintain documentation for log onboarding procedures and data mappings
- Monitor pipeline performance and conduct telemetry gap analyses
- Onboard new log sources and validate end to end data flows
- Optimize pipeline performance reliability throughput and operational costs
- Parse normalize transform enrich and validate security telemetry
- Support compliance regulatory audit retention and data integrity requirements
- Troubleshoot ingestion parsing transformation schema and data quality issues
Perks/Benefits
- Collaborative global working environment
- Cross-functional collaboration
- Exposure to large scale security telemetry
- Opportunity to contribute to threat detection and incident response
- Opportunity to develop automation and data quality solutions
- Opportunity to work in regulated financial services environment
- Professional growth
- Remote work opportunity
Skills/Tech-stack
Automation | Azure Data | Azure Data Explorer | CSV | Cloud Security | Data Explorer | Data Ingestion | Data Normalization | Data Parsing | Data Quality | Data Transformation | Data Validation | Incident Response | Infrastructure as Code | JSON | Log Analytics | Powershell | Python | Regex | SIEM | Schema mapping | Security operations | Threat detection | XML | “as-code”
Education
N/A
Roles
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