Databricks Data Engineer with Geospatial Experience

We are looking for an experienced Databricks Data Engineer to join our dynamic team and contribute to building scalable and efficient data pipelines. This role focuses on leveraging Spark, Python, and PostGIS to develop robust solutions for geospatial data management and processing. You will be working extensively within the Databricks environment to design and optimize data architectures while ensuring high-quality data delivery. If you are passionate about data engineering, enjoy working with cutting-edge technologies, and thrive in a collaborative environment, we want to hear from you! Key Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks, Spark, and Python. Manage and process geospatial data using PostGIS and other tools, ensuring high performance and accuracy. Develop workflow tasking systems to automate and manage data processes effectively. Handle big data technologies, particularly Apache Spark (PySpark), to process large-scale datasets efficiently. Collaborate with cross-functional teams to ensure data quality and integration across platforms.