Data Platform Engineer
Key Deliverables: Real-time security event ingestion pipelines from SIEM/SOAR platforms, threat intelligence correlation engines for SOC operations, data lake architecture for cyber forensics and audit trails.
Skills
About This Role
Key Deliverables
Real-time security event ingestion pipelines from SIEM/SOAR platforms, threat intelligence correlation engines for SOC operations, data lake architecture for cyber forensics and audit trails.
Build real-time security event pipelines (integrating with SIEM/SOAR tools); develop threat intelligence correlation engines for SOC; design and maintain a cyber data lake architecture for forensics and audit trails, enabling advanced security analytics.
Designs and maintains data platforms that collect, process, and store large volumes of security and operational data in near real time.
The engineer builds reliable data pipelines, supports analytics and reporting needs for security teams, and ensures data is well-structured for investigations and audits.
Suitable candidates should have strong experience with cloud-based data platforms, data engineering, and working with high-volume, business critical data.
Certifications
Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional
Experience
8-10 years
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