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
• Partner with application owners, infrastructure and cloud teams, vendors, security stakeholders
• Ensure the integrity, completeness, timeliness, and quality of security telemetry used for
• Align security data with established schemas, naming conventions, governance standards, and
• 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, including
• Familiarity with security telemetry from network, endpoint, identity, application, cloud, and
• Experience working with cloud platforms and associated logging, monitoring, and analytics services
• Strong troubleshooting and analytical skills, with the ability to diagnose pipeline, ingestion

🎁 Benefits

• Remote work opportunity from anywhere.
• Opportunity to work on cybersecurity data engineering within a highly regulated financial services
• Exposure to large-scale security telemetry, SIEM platforms, Azure data services, cloud
• Hands-on opportunities to develop scalable pipelines, automation, infrastructure-as-code, and
• Cross-functional collaboration with cybersecurity, cloud, infrastructure, application, governance
• Opportunity to contribute directly to threat detection, incident response, compliance, and cyber