Posted:2 weeks ago|
Platform:
On-site
Full Time
We are looking for a skilled Python Backend Engineer with expertise in handling large-scale geospatial data. This role is focused on designing and optimizing backend systems for processing, managing, and analyzing spatial data, including routing, GPS integration, and street-view mapping.
•Design and Development: Build and maintain scalable backend APIs using Python and Django/GeoDjango.
•Database Management: Optimize and manage spatial databases, specifically PostgreSQL + PostGIS, and write complex SQL queries.
•System Integration: Implement and manage distributed task queues using Celery and RabbitMQ, and use Redis for caching and performance improvements.
•Geospatial Processing: Ingest, query, and perform spatial analysis on large GIS datasets.
•Routing & GPS: Utilize OSRM for creating routing solutions, generate mapping images for street-view, and develop systems for parsing, storing, and mapping GPS data.
•Deployment: Deploy applications using Gunicorn on Linux-based environments.
•Collaboration: Work with frontend, AI, and data teams to deliver new mapping features.
•Proficiency: Strong command of Python and Django/GeoDjango.
•Databases: Hands-on experience with PostgreSQL, PostGIS, and advanced SQL querying.
•Tools & Technologies: Experience with Celery, RabbitMQ, and Redis.
•Geospatial: Proven experience handling large-scale spatial databases, OSRM routing, and GPS data processing.
•Deployment: Strong Linux system knowledge and familiarity with Gunicorn deployment.
Version Control: Proficient in Git/Bitbucket workflows.
Apply Now!
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