Azure Data Engineer

📋 Description

• Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud data
• Parse, normalize, transform, enrich, and validate structured/unstructured security telemetry using
• Onboard new log sources and validate end-to-end data flows with application owners and cloud teams.
• Ensure integrity, timeliness, quality of security telemetry for monitoring, detection, incident
• Align security data with schemas and governance standards to support analytics and automation.
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across platforms.

🎯 Requirements

• 3+ years in cybersecurity, data engineering, log management, security operations, or related field.
• Hands-on experience onboarding, managing, and validating log sources within SIEM, cloud data
• Strong data parsing/normalization/transformation/validation skills (regex, JSON, XML, CSV
• Familiarity with security telemetry across network, endpoint, identity, application, cloud, and
• Experience with Azure logging/monitoring/analytics services.
• Strong troubleshooting/analytical skills for ingestion, schema, and data-quality issues.

🎁 Benefits

• Remote work opportunity from anywhere.
• Exposure to cybersecurity data engineering in regulated financial services.
• Hands-on work with large-scale security telemetry, SIEM, Azure data services, and cloud
• Opportunity to develop scalable pipelines, automation, infrastructure-as-code, and data-quality
• Cross-functional collaboration with cybersecurity, cloud, governance, and vendor teams.
• Contribute directly to threat detection, incident response, compliance, and cyber risk visibility.