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 with application owners, infrastructure/cloud teams, vendors, and security
• Ensure integrity, completeness, timeliness, and quality of security telemetry for monitoring
• Align security data with schemas, naming conventions, governance standards, and organizational
• 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, validation; experience with
• Familiarity with security telemetry across network, endpoint, identity, application, cloud, and
• Experience with cloud platforms and logging/monitoring/analytics services, especially Azure.
• Strong troubleshooting/analytical skills for pipeline, ingestion, schema, and data-quality issues.

🎁 Benefits

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