Job Title: GIS Engineer

Employment Type: Full-time

Job Summary:

We are seeking a skilled GIS Engineer with 7 to 10 years of experience in Geographic Information Systems (GIS) related to the domain of pavement condition survey and GIS-based pavement management system (PMS) implementation projects. The ideal candidate will play a key role in managing, analyzing, and integrating spatial data related to road and pavement assets, supporting data-driven decision-making for maintenance and rehabilitation planning.

Key Responsibilities:

• Collect, process, and analyze spatial and non-spatial data related to road networks and pavement assets.
• Conduct and manage pavement condition surveys and ensure accurate geo-referencing of collected data.
• Develop, implement, and maintain GIS-based Pavement Management Systems (PMS).
• Integrate field data (distress, roughness, structural data, etc.) into GIS platforms such as ArcGIS and QGIS.
• Prepare high-quality maps, spatial models, and visualizations to support project reporting and decision-making.
• Manage GIS databases, perform spatial data cleaning, and ensure data integrity and accuracy.
• Collaborate with pavement engineers, asset management teams, and IT specialists to design GIS workflows for pavement asset management.
• Automate GIS data processing and analysis using various common industry tools

Qualifications and Experience:

• Bachelor's degree in Civil Engineering, Geo informatics, Geography, or a related discipline.
• 7-10 years of relevant professional experience in GIS and transportation infrastructure projects.
• Proven experience in pavement condition surveys and GIS-based PMS implementation.
• Proficiency in ArcGIS (Desktop, Pro, Online) and QGIS; familiarity with data management in geodatabases.
• Experience with GPS/GNSS data collection, survey data processing, and asset mapping.
• Knowledge of data visualization tools (e.g., Power BI, ArcGIS Dashboard) is an advantage.
• Strong analytical, communication, and problem-solving skills.
• Ability to work independently and collaboratively within multidisciplinary project teams.