Real-Time Data Pipeline for Autonomous Vehicle Insights

As a burgeoning startup in the autonomous vehicles industry, we are at the forefront of revolutionizing transportation. We need a proficient data engineer to build a real-time data pipeline that integrates various advanced technologies, such as Apache Kafka for event streaming, Apache Spark for processing, and Airflow for orchestration. The goal is to capture real-time data from our autonomous vehicle fleet and transform it into actionable insights. This project will involve setting up a data mesh architecture to ensure data availability and accessibility across teams, followed by implementing data observability practices to monitor pipeline performance. The solution should be scalable, efficient, and support MLOps frameworks to streamline the deployment of machine learning models for predictive analytics. Our startup eagerly needs this solution to enhance vehicle safety, improve route efficiency, and maintain a competitive edge.