Azure Data Engineer

📋 Description

• Design, build, and maintain scalable security data pipelines for SIEM and cloud platforms.
• Parse, normalize, transform, enrich, and validate security telemetry.
• Onboard new log sources with stakeholders to validate data flows.
• Ensure data quality for monitoring, detection, and risk analysis.
• Align data with schemas and governance standards for analytics.
• Troubleshoot ingestion, parsing, and data-quality issues.

🎯 Requirements

• 3+ years in cybersecurity, data engineering, or related field.
• Hands-on onboarding and validation of log sources in SIEM/cloud analytics.
• Strong data parsing/normalization/transformation (regex, JSON, XML, CSV).
• Experience with Azure logging/monitoring analytics.
• Strong troubleshooting and analytical skills.
• Knowledge of data governance and regulatory needs.

🎁 Benefits

• Remote work opportunity from anywhere.
• Experience in regulated financial services security data.
• Exposure to large-scale security telemetry and Azure data services.
• Opportunity to develop scalable pipelines and IaC.
• Cross-functional collaboration with cybersecurity and cloud teams.
• Growth through evolving cloud security/data engineering tech.