Overview
Spatial and tabular data can contain deep insights into how the world works but detecting patterns and gaining insights can be extremely difficult especially when using huge datasets. We are looking for someone passionate about helping our users overcome these issues. We want to hear from you if you are interested in improving and expanding on new spacetime analysis techniques for big data. As part of the GeoAnalytics team youll help decide how GIS professionals investigate and analyze their big data. You will help design and test new tools and APIs and present cuttingedge methods to users through documentation and presentations.
Responsibilities
- Collaborate with a diverse team of developers and product engineers to build and deliver new tools and APIs for big data analysis (such as data science Spark machine learning)
- Deploy and test in cloud environments
- Define user requirements and apply best practices
- Create and execute highquality test plans
- Document newly developed functionality APIs and processes
- Build document and present analysis workflows
- Create and ship quality software by working in an agile highly interactive creative team environment
- Troubleshoot and triage customer issues
Requirements
- 2 years of experience in spatial analysis or GIS utilizing Python R or another highlevel programming language
- Strong problemsolving and analytical skills
- Excellent written and verbal communication skills including technical presentation and interacting with colleagues across organizations
- Proven ability to work in teams
- Bachelors in computer science GIS statistics or related field
Recommended Qualifications
- Masters in computer science GIS statistics or related field
- Experience with Apache Spark or Apache Hadoop
- Experience with cloud platforms such as Microsoft Fabric Amazon EMR Databricks Azure Synapse or Google Data Pro
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