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 internal teams and vendors.
• Ensure integrity, completeness, timeliness, and quality of security telemetry for monitoring
• Align data with schemas and governance standards to support analytics and automation.
• Troubleshoot ingestion, parsing, transformation, and data-quality issues across platforms.

🎯 Requirements

• 3+ years of relevant experience in cybersecurity, data engineering, log management, or related tech.
• Hands-on experience onboarding, managing, and validating log sources within SIEM, cloud data
• Strong understanding of data parsing, normalization, transformation, and validation (regex, JSON
• Familiarity with security telemetry from network, endpoint, identity, app, cloud, and
• Experience with Azure logging, monitoring, and analytics services.
• Strong troubleshooting/analytical skills for pipeline, ingestion, schema, and data-quality problems.

🎁 Benefits

• Remote work opportunity from anywhere.
• Experience in cybersecurity data engineering within a regulated financial services environment.
• Exposure to large-scale security telemetry, SIEM platforms, Azure data services, and cloud
• 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.