Geospatial Data Scientist

February 12

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Agrosmart

Agrosmart is a technology company that offers innovative solutions for agribusiness, focusing on climate intelligence, supply chain management, and environmental sustainability. Their platform provides actionable insights to farmers, cooperatives, and agricultural industries, helping improve productivity and resilience against climate challenges. By leveraging data, Agrosmart aims to create a more efficient and sustainable agricultural ecosystem.

Internet of Things • Agriculture • Irrigation • climate • climate risk

📋 Description

• Esta é uma posição remota. • Estamos em busca de um(a) cientista de dados especializado(a) em GIS (Geographic Information Systems) com experiência em desenvolvimento, análise de dados espaciais e visualização de dados. • Essa pessoa será responsável por desenvolver soluções que envolvem ETL, APIs, Data Visualization e manipulação de dados geoespaciais em um ambiente dinâmico e desafiador para aplicações variadas no agronegócio, meio ambiente e energia. • O candidato ideal deve ter experiência em Python, PostgreSQL (com PostGIS), além de habilidades em ferramentas de BI (Data Visualization) e conhecimento de bases de dados públicas e governamentais relacionadas ao meio ambiente e território. • Se você tem um perfil proativo, curioso, atento a detalhes e gosta de trabalhar em um ambiente em constante crescimento, venha fazer parte do nosso time!

🎯 Requirements

• Experiência sólida com GIS e desenvolvimento de soluções geoespaciais. • Habilidades avançadas em Python, incluindo bibliotecas como Geopandas, Shapely, Rasterio, Fiona. • Experiência com APIs REST e integração de dados espaciais. • Experiência com PostgreSQL/PostGIS e otimização de consultas geoespaciais. • Experiência com ferramentas de ETL para dados espaciais. • Conhecimento em visualização de dados (Power BI, Tableau, Dash/Plotly ou equivalente). • Experiência com bases de dados governamentais como SICAR, MMA, FUNAI, PRODES, GFW, INCRA. • Familiaridade com Geoserver e outras tecnologias GIS. • Perfil colaborativo e proativo com facilidade em trabalhar em grupo e boa comunicação interpessoal. • Capacidade de aprender rápido e se adaptar a ambientes e projetos em expansão. • Diferenciais (Nice to Have): Experiência em Big Data geoespacial (Google Earth Engine, AWS, Spark GIS, etc.). • Conhecimento de Machine Learning aplicado a GIS. • Habilidade em desenvolvimento backend (Django, Flask) para APIs GIS. • Experiência com Cloud Services (AWS, GCP, Azure) para GIS. • Inglês e espanhol a partir do intermediário. • Residir em Campinas (SP) ou Manaus (AM) (diferencial, mas não obrigatório para a vaga remota).

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