Roles and Responsibilities

• Develop, maintain, and optimize automated GIS workflows using Python and Terrasolid software suite (TerraScan, TerraModeler, TerraPhoto).
• Implement batch processing and desktop automation solutions for large-scale LiDAR data handling.
• Process, analyze, and manage LiDAR point cloud data in various formats (LAS, LAZ).
• Design and maintain geospatial databases using PostGIS and PostgreSQL, ensuring data integrity and performance.
• Integrate GIS workflows with AWS services (S3, EC2, RDS, Lambda, CloudWatch, CloudFormation, Secrets Manager) for scalable and secure solutions.
• Develop and manage CI/CD pipelines using GitHub Actions to streamline deployment of GIS automation scripts and tools.
• Collaborate with GIS analysts, developers, and stakeholders to deliver efficient geospatial solutions.
• Troubleshoot and resolve technical issues related to GIS automation, data processing, and cloud infrastructure.

Required Skills & Qualifications

• Bachelor’s degree in Geoinformatics, Computer Science, GIS, or a related field.
• Proficiency in Terrasolid software suite: TerraScan, TerraModeler, TerraPhoto.
• Strong Python programming skills for scripting, automation, and data processing.
• Experience with desktop automation and batch processing workflows.
• In-depth knowledge of LiDAR data formats (LAS, LAZ) and point cloud processing techniques.
• Hands-on experience with PostGIS and PostgreSQL for geospatial database management.
• Familiarity with AWS cloud services including S3, EC2, RDS, Lambda, CloudWatch, CloudFormation, and Secrets Manager.
• Experience with CI/CD pipelines, preferably using GitHub Actions.
• Strong problem-solving skills, attention to detail, and ability to work in a team-oriented environment.

Preferred Skills

• Knowledge of additional GIS software (e.g., ArcGIS, QGIS).
• Experience with spatial data analysis and visualization.
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for GIS applications.

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