Real-Time Data Pipeline for Enhanced Property Management Insights

As a burgeoning startup in the property management industry, we recognize the pressing need for real-time insights to stay competitive and responsive to market demands. Our goal is to develop an advanced data pipeline that integrates multiple data sources, providing property managers with instantaneous access to critical information. This project involves setting up a robust data infrastructure using Apache Kafka for event streaming, Spark for real-time processing, and Airflow for orchestrating data workflows. We aim to employ dbt for data transformations and leverage Snowflake or BigQuery for scalable storage and analytics. By implementing this solution, property managers will gain the ability to monitor property performance metrics, tenant behavior, and maintenance needs in real time. The capability to access these insights immediately will empower managers to make data-driven decisions, reduce costs, and improve tenant satisfaction. We are looking for a skilled data engineer with expertise in these technologies to lead this project with a sense of urgency, ensuring completion within four to six weeks.