GIS Specialist

GIS Specialist About the Position Citylogix is seeking a meticulous individual to fill the position of GIS Specialist, contributing to the creation, analysis, and quality control of geospatial data. The successful candidate will primarily work with ArcGIS Pro and occasionally use Python and ArcPy to troubleshoot issues, improve workflows, and automate GIS-related tasks. The specialist will collaborate with the GIS team across multiple projects, assist in resolving technical and data-related issues, and ensure deliverables meet quality standards and project requirements. This role is ideal for someone with strong GIS knowledge, practical problem-solving skills, and an interest in optimizing geospatial processes. Key Responsibilities Perform a variety of tasks in ArcGIS Pro, including data editing and digitizing, geoprocessing, spatial analysis, data conversion, and data management. Create, maintain, and validate GIS datasets, feature classes, shapefiles, and geodatabases. Use, troubleshoot, and—when necessary—develop or modify geoprocessing tools and workflows. Use Python and ArcPy to read, troubleshoot, and modify beginner-to-intermediate-level GIS scripts, develop new scripts, and automate workflows. Conduct quality assurance (QA) and quality control (QC) activities to verify the accuracy, completeness, consistency, and project-compliance of GIS data. Identify and resolve data and workflow issues, including missing, incorrect, or inconsistent information. Adhere to standards, standard operating procedures, and project-specific requirements, while contributing to process improvements. Collaborate with the GIS team to resolve technical issues, manage multiple projects simultaneously, and meet deadlines. Required Qualifications College or university diploma in GIS, geomatics, geography, computer science, engineering, or a related field. Hands-on experience with ArcGIS Pro, including data editing and digitizing, geoprocessing, and spatial analysis. Experience working with geodatabases, feature classes, shapefiles, and other common GIS data formats. Practical knowledge of Python and ArcPy, including the ability to read, troubleshoot, and modify GIS scripts. Familiarity with GIS toolboxes and automated geoprocessing workflows. Solid understanding of GIS data QA/QC practices, validation, and data management. Strong analytical and technical problem-solving skills. High attention to detail and ability to detect inconsistencies in data. Ability to prioritize tasks, manage multiple projects concurrently, and meet deadlines. Excellent communication and teamwork skills.