Data Engineer

CyberproAI · raanana

Build the data backbone powering cybersecurity platforms, training environments, and AI-driven products. Design scalable, production-grade data systems and real-time pipelines. We're looking for a hands-on Data Engineer to join our core team and build the data backbone powering our cybersecurity platforms, training environments, and AI-driven products. You will design and build scalable, production-grade data systems that support real-time cyber simulations, analytics, and intelligent platforms used globally. Responsibilities Design and build robust data pipelines (batch & real-time). Develop and maintain ETL/ELT workflows. Build scalable data ingestion frameworks from logs, systems, and APIs. Design and maintain data lakes / lakehouse architectures. Process high-volume security telemetry and logs. Collaborate with AI, cyber, and product teams. Requirements Strong Python (mandatory). Experience with Spark / PySpark. Kafka or other streaming platforms. SQL & NoSQL databases. What you bring Airflow or orchestration tools. Data lake / lakehouse architectures. Solid software engineering practices (Git, testing). Nice to have Cybersecurity data experience (logs, SIEM, telemetry). Cloud platforms (AWS / Azure / GCP). AI/ML pipelines or RAG systems.

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