Real-Time Threat Detection Platform Using Event Streaming and Data Mesh

Our cybersecurity startup is embarking on a mission to revolutionize how organizations detect and respond to threats by leveraging real-time data engineering principles. We are seeking a proficient data engineer to collaborate with us in building a robust real-time threat detection platform. This platform will utilize event streaming technology such as Apache Kafka to ingest large volumes of data from diverse sources, facilitating immediate analysis with Spark and Snowflake. By adopting a data mesh architecture, the platform will ensure scalability, flexibility, and enhanced data observability, crucial to identifying potential threats across various environments. The integration of MLOps will enable the deployment of machine learning models for predictive threat analysis, providing users with actionable insights and automated alerting mechanisms. Our goal is to create an innovative solution that ensures data integrity and security, ultimately minimizing the risk of cyber attacks.