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 data quality, timeliness, and coverage for monitoring, detection, incident response
• Align data with schemas and governance standards to support downstream analytics and automation.
• Troubleshoot ingestion, parsing, transformation, schema, and data-quality issues across platforms.

🎯 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 data parsing, normalization, transformation, and validation skills (regex, JSON, XML, CSV
• Familiarity with security telemetry across network, endpoint, identity, application, cloud, and
• Experience with Azure logging/monitoring/analytics services.
• Strong troubleshooting and analytical abilities for pipelines and data quality.

🎁 Benefits

• Remote work opportunity from anywhere.
• Exposure to large-scale security telemetry, SIEM, Azure data services, and cloud environments.
• Hands-on development of 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.
• Professional growth through exposure to evolving cloud security and data engineering technologies.