Real-Time Data Pipeline for Market Trends in Residential Real Estate

In the dynamic landscape of Residential Real Estate, timely and accurate data is crucial for maintaining a competitive edge. Our company is seeking an experienced data engineer to design a real-time data pipeline that supports the ingestion, processing, and analysis of market trends and property data. The objective is to equip our team with real-time analytics capabilities, enabling us to respond swiftly to market changes and enhance our strategic planning processes. The project will utilize Apache Kafka for event streaming, Spark for large-scale data processing, and Airflow for orchestrating data workflows. We aim to integrate data from multiple sources into a centralized data warehouse using Snowflake, offering seamless access for our analytics team. Moreover, the implementation of dbt will ensure that our data models are well-structured and maintainable, allowing for robust data observability. This project is expected to significantly improve our data-driven decision-making processes, providing insights into market trends, pricing strategies, and customer preferences. The successful implementation of this data pipeline will position us to capitalize on market opportunities more effectively.