Role OverviewThe role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.
What You Will Do
Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.
Why It Might Be a Fit
The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, or a related field OR a minimum of 5 years of equivalent experience in full-stack development and data engineering.
- Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.
- Experience implementing RESTful and GraphQL APIs for data retrieval and integration.
- Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.
- Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.
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