Description

Job Description:
GIS professional specializing in Geographic Information Systems (GIS) who advises organizations on how to utilize this technology to analyze spatial data, solve location-based problems, and make informed decisions across various industries like urban planning, environmental management, transportation, and utilities, by collecting, analyzing, and visualizing geospatial information through mapping and data analysis tools; often collaborating with clients to design and implement GIS systems, assess data quality, and provide training on data management and analysis techniques.
Responsibilities:

  • Develop, implement, and maintain GIS applications and tools using industry-standard software and programming languages.
  • Integrate geospatial data with web applications, enterprise systems, and third-party platforms.
  • Customize GIS software solutions (e.g., ArcGIS, QGIS) to meet specific project requirements.
  • Create and manage spatial databases, ensuring data integrity and usability.
  • Perform geospatial analysis to support decision-making and create high-quality visualizations and maps.
  • Develop automated workflows using scripting languages like Python to improve efficiency.
  • Collaborate with stakeholders to gather requirements and design GIS solutions tailored to their needs.
  • Stay updated on emerging GIS technologies and recommend enhancements to existing systems.
  • Provide technical support, documentation, and training to users of GIS applications.
  • Troubleshoot and resolve issues related to GIS software and systems.

Qualifications:
Bachelor's degree in Computer Science, or a related field.

  • Minimum of 5 years of experience in GIS development or software engineering.
  • Proficiency in GIS software such as ArcGIS, QGIS, or similar tools.
  • Strong programming skills in languages such as Python, JavaScript, or C#.
  • Experience with web development frameworks.
  • Proficiency in working with spatial databases such as SQL Server.
  • Knowledge of APIs and web services.
  • Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and GIS integrations is a plus.
  • Strong understanding of geospatial principles, data formats, and coordinate systems.
  • Excellent problem-solving skills and the ability to work independently or collaboratively.
  • Familiarity with machine learning and AI techniques for geospatial analysis

Key Skills
Education

Bachelor's Degree

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