— Up to 1 year of experience in Python;
— Good python 3 development skills;
— Experience in writing unit tests;
— Experience in using and developing REST APIs;
— At least Intermediate in English.
— Experience in relational databases;
— Experience in GIS related libraries (rasterio, geopandas, shapely)
— Basic knowledge of Docker and Kubernetes;
— Basic knowledge of cloud infrastructure, especially GCP.
— Exchange of experience, professional development;
— A strong team, a healthy atmosphere;
— Flexible working time;
— 20 days paid vacation;
— Paid sick leave;
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— English lessons and massage service in the office (partially paid by the company);
— Opportunity to take part in conferences, meetups etc. (fully or partially paid by the company);
— Regular company events.
— Work with massive spatial data from both commercial and open sources;
— Work with GIS and ML, oriented python tools libraries (rasterio, shapely, numpy, scipy, openCV, tensorflow, etc);
— Automate processes for acquiring and loading spatial datasets;
— Transform those datasets into normalized data models;
— Ensure continuous quality improvements.