Senior Python Engineer, Geospatial (вакансія неактивна)

4+ years of Python experience
Experience working in a large distributed software system (not just web-dev), ideally designing entire workflows or with other kinds of architecture responsibilities

Experience using Python tools for geospatial data, such as Shapely, GDAL or GeoPandas
Prior projects working on mapping applications or routing applications which have been used in the field by customers
Live experience working with location-based data to solve real problems
Experience with Spark (Python and/or Scala)
Spatial databases / spatial indexes in databases (e.g. PostGIS)
Other geographic information systems
Techniques and algorithms for geospatial data analytics and/or geospatial data science

Few companies can say that they have the chance to revolutionize whole industries — at DataRobot, you can have that kind of impact. In Healthcare, Non-Profit, Finance, Insurance, Tech, Marketing, you name it. Our team builds features that customers rely on every day to know where and when to divert key resources across the globe. You will help bring location-aware AI adoption to the next level, building smarter products and services.

Design, Develop, and Deploy Cutting-Edge Features, Architectures, and Algorithms:
Work with stakeholders to discover new requirements and opportunities
Develop prototypes and translate them into enterprise-grade capabilities
Create APIs and services to empower our customers to develop AI-enabled Geospatial workflows and applications
Build and extend system infrastructure to enable, accelerate, and scale our technology

Do you want to work on world-class AI-enabled Geospatial applications? The kind that could help identify where there is a higher risk of natural disasters, areas where dangerous accidents might occur, or predict where goods or services should be located to best serve customers? DataRobot is looking for people who are passionate about this space to build cutting-edge location-based technologies. Come and experience our strong engineer-first culture, and strengthen your skills working on challenging AI and Systems problems.

Key Technologies:
Python2/3, Flask, Pytest, Requests, Matplotlib, Seaborn, Trafaret

Geospatial technologies:
GDAL/OGR
GeoPandas
Spatial DB / spatial Indexes in databases (e.g. PostGIS),
PySAL
Numpy, Scipy, Pandas
GeoJSON, Shapely, Descartes, Rasterio, scikit-image, Experience using MapBox/Google/Apple Maps APIs
MongoDB, TimescaleDB, Redis, RabbitMQ