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
• Collaborate with application owners, infrastructure/cloud teams, vendors, and security stakeholders
• Ensure integrity, completeness, timeliness, and quality of security telemetry for monitoring
• Align security data with schemas, governance standards, and organizational requirements to support
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across

🎯 Requirements

• 3+ years of experience in cybersecurity, data engineering, log management, security operations, or
• 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, application, cloud, and
• Experience with Azure logging, monitoring, and analytics services.
• Strong troubleshooting/analytical skills for diagnosing pipeline, ingestion, schema, and

🎁 Benefits

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