Real-time Data Pipeline Development for Commercial Real Estate Insights

As a scale-up in the Commercial Real Estate industry, we face challenges in efficiently processing and analyzing large volumes of data from multiple sources, including IoT sensors, market reports, and tenant information. We aim to build a robust data engineering solution that enhances our data-driven capabilities. The project involves designing and implementing a real-time data pipeline using technologies like Apache Kafka for event streaming, Spark for data processing, and Snowflake for cloud data storage. The pipeline should facilitate seamless data integration, ensuring timely and accurate insights. This system will support our strategic decision-making in property management and investment strategies. The successful candidate should have experience with data mesh architectures, MLOps practices for model deployment, and data observability tools to ensure system reliability and performance. This project is critical as it will significantly impact our ability to respond to market changes swiftly.