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
• Partner with application owners, infrastructure/cloud teams, vendors, and security stakeholders to
• 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 diverse

🎯 Requirements

• 3+ years of relevant experience in cybersecurity, data engineering, log management, security
• 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 ecosystem logging, monitoring, and analytics services.
• Strong troubleshooting/analysis skills for pipeline, ingestion, schema, and data-quality problems.

🎁 Benefits

• Remote work opportunity from anywhere.
• Exposure to cybersecurity data engineering within a highly regulated financial services environment.
• Hands-on opportunities to develop scalable pipelines, automation, IaC, and data-quality solutions.
• Cross-functional collaboration with cybersecurity, cloud, infrastructure, governance, and vendor
• Opportunity to contribute directly to threat detection, incident response, compliance, and cyber
• Professional growth through exposure to evolving cloud security, telemetry, and data engineering