Data Engineer (Cybersecurity)

Key Responsibilities

• Design, build, and optimize large-scale data systems for threat detection, investigation, and analysis
• Scale data systems to stay ahead of emerging threats and growing data volumes
• Develop scalable and high-availability system architecture with CI/CD
• Build high-performance microservices and RESTful APIs
• Enhance dashboards for system health monitoring and telemetry collection
• Stay up-to-date with industry trends and emerging technologies to improve our data systems

Requirements (Minimum Qualifications)

• Background in Computer/Electrical Engineering, Computer Science, Data Engineering, or equivalent
• 1-3 years of experience in Data Engineering
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Proficiency in programming languages such as C, C++, Java, or Python

Nice-to-haves

• Advantageous experience/knowledge in:
• SIEM tools (e.g., Splunk, ELK stack)
• Network IDS tools (e.g., Snort, Suricata)
• High-performance, scalable, low-latency networking
• Cloud-native technologies (e.g., Kubernetes, Docker)
• Microservice and RESTful APIs design and development
• DevOps CI/CD tools (e.g., Gitlab CI/CD, Kubernetes, Helm)