Real-Time Security Event Streaming and Analytics Platform

In the rapidly evolving landscape of security and surveillance, our startup aims to provide a sophisticated platform that can ingest, process, and analyze real-time security events. The primary objective of this project is to build a scalable data pipeline that leverages technologies such as Apache Kafka for event streaming, Apache Spark for real-time processing, and Snowflake or BigQuery for data storage and querying. The candidate will be responsible for designing and implementing a data architecture that supports data mesh principles and ensures data observability and reliability. The project will also involve setting up MLOps pipelines using tools like Airflow and dbt to automate data workflows and ensure seamless integration with machine learning models. This solution is critical to providing actionable insights for our clients, enabling them to respond quickly to potential security threats.