Proven experience in developing and maintaining GIS applications using Field Maps, AGOL, and Experience Builder Ability to design user-friendly interfaces and experiences for GIS applications on mobile devices Knowledge of web technologies (e.g., HTML, CSS, JavaScript) and their application in GIS development Develop RESTful feature and map services/APIs, automating the processes using ArcPy and Python API for ArcGIS Experience in developing desktop and console applications using .NET/C# Utilize AWS services (e.g., S3, Lambda, Secret Manager, DynamoDB, RDS, EC2) for cloud integration and management Strong analytical and problem-solving skills, with the ability to identify and resolve complex GIS issues Innovative mindset, with the ability to develop new tools and methodologies to enhance GIS capabilities Experience in optimizing GIS applications for performance and scalability Excellent communication skills, with the ability to present complex GIS concepts to non-technical stakeholders Strong collaboration skills, with experience working in cross-functional teams to deliver projectsDevelop and maintain GIS applications using Esri Field Maps and ArcGIS Online (AGOL) to support field data collection Create maps and build forms for data collection, ensuring functionality and ease of use Enable maps for offline use to ensure continuity in data collection in areas with limited connectivity Setup geofences and configure various settings to optimize field workflows Implement dynamic or smart form behaviors using Python or Arcade for form expressions Ensure Field Maps applications are optimized for performance, usability, and offline capabilities, particularly for use on mobile devices like iPads Python Scripting and Automation: Write and maintain Python scripts for automating GIS workflows, data processing, and spatial analysis Develop custom Python tools and extensions to enhance GIS application capabilities Utilize Python libraries such as ArcPy, Pandas, and GeoPandas for advanced geospatial analysis and data manipulation Data Management and Integration: Manage spatial and non-spatial data, ensuring data quality, consistency, and accuracy Integrate data from various sources (e.g., databases, APIs, external systems) into GIS applications