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 and unstructured security telemetry.
• Onboard new log sources and validate end-to-end data flows with various internal teams and vendors.
• Ensure data telemetry is complete, timely, and high quality for monitoring, detection, response
• Align security data with schemas, governance standards, and organizational requirements for
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across

🎯 Requirements

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

🎁 Benefits

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