Job Summary

The GIS Software Engineer is pivotal in streamlining DigiFarm's data pipeline for enhanced stability and reduced time-to-delivery. By addressing issues in satellite data processing and generating custom datasets, this role significantly contributes to the productivity and efficiency of the Product, Data Processing, and Sales teams. The GIS Software Engineer must be adept in GIS toolsets, Postgresql, Python programming, and must have proficiency in Linux environments.

Key Responsibilities:

1. Debug and troubleshoot geospatial processing issues to ensure data accuracy and reliability.

2. Design and develop automated scripts and systems to convert manual GIS procedures into scalable solutions.

3. Collaborate closely with the Data Processing and Sales teams to fulfill specialized data requests and support client deliverables.

4. Maintain and optimize geodatabases to support various product and service initiatives.

5. Contribute to the deployment of GIS software and tools that complement and enhance DigiFarm's existing product offerings.

6. Collaborate on the development of innovative GIS/Remote Sensing analytical methodologies for DigiFarm's projects

Key Accountabilities:

🧭 Accountability | Deliver prompt resolution to geospatial data issues affecting product quality and client satisfaction.

🧭 Accountability | Implement automated GIS processes that demonstrably reduce manual workloads and processing times.

🧭 Accountability | Ensure the integrity and performance of geodatabases through effective management and optimization.

What is out of scope?

1. Team leading.

2. Extensive Product development.

3. Extensive Infrastructure development.

4. Direct involvement in sales negotiations or contract signings.

5. Physical handling of server hardware maintenance.

What are the key metrics of success (KPIs)?

🎯 KPI | Issue Resolution Efficiency: Measured by the average time taken to resolve data processing issues from identification to closure.

🎯 KPI | Automation Impact: Tracked by the reduction in manual processing time and increase in data throughput following the implementation of automated scripts.

🎯 KPI | Geodatabase Performance: Assessed by the stability, response time, and manageability metrics of geodatabases in use.

🎯 KPI | Collaboration and Support Effectiveness: Evaluated by feedback from Sales and Data Processing teams regarding the timeliness and applicability of technical support provided.

What Knowledge, Experience, and Job-Related Skills are Essential and Desirable for Success in This Role?

1. Technical expertise in GIS software and tools, specifically in geospatial data processing and analysis.

2. Programming skills, particularly in Python, and experience with Postgresql databases.

3. Familiarity with Linux environments and scripting to facilitate robust geospatial solutions.

4. Experience in maintaining geodatabases.

5. Methodical approach to task management, ensuring consistency and accuracy in processes.

6. Proactive communicator, able to articulate technical complexities clearly to non-technical stakeholders.

7. Adaptable and resilient when working in a dynamic, deadline-driven environment.

Nice to have skills

1. AWS S3;

2. AWS Lambda;

3. Google Colab;

4. PyTorch.

What are the tools and accounts required for the onboarding?

1. QGIS;

2. Google Workspace (DigiFarm Email + Calendar, Google Sheets + Docs, etc.);

3. Asana;

4. Slack;

5. GitHub;

6. Swimm;

7. 1Password;

8. Retool;

9. AWS;

10. Database and cloud infrastructure access.