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Geospatial Software Engineer

Company: Rose International
Location: Saint Louis
Posted on: April 10, 2021

Job Description:

and those authorized to work in the U.S. can be considered as W2 candidates. Duration 12 months Location Creve Coeur, MO 63141 or remote Geospatial Software Engineer The Geospatial Software Engineer will be involved in the design of big data solutions that leverage open source and cloud-based solutions within the Location360 enterprise initiative and will work with multiple teams across the organization (i.e. cloud analytics, data architects, business groups). The software engineer will participate in the building of large-scale data processing systems and API's and should be able to work with the latest open-source technologies.A software engineer should embrace the challenge of dealing with petabytes or even exabytes of data daily in a high-throughput APImicroservice ecosystem. A software engineer understands how to apply technologies to solve big data problems and to develop innovative big data solutions. The software engineer generally works on implementing complex projects with a focus on collecting, parsing, managing, analyzing and making available large sets of data to turn information into insights using multiple platforms. The software engineer should be able to develop prototypes and proof of concepts for the selected solutions. This role will drive the engineering and building of geospatial data assets to support Client Field Platform and RD product pipeline. Key responsibilities include bullDesign, build and support of cloud and open source systems to process geospatial data assets via an API-based platform bullPartners with other internal development communities to bring needed data sets into the asset and making data available to the Client Enterprise and internal development communities bullBuilding highly scalable API's and associative architecture to support thousands of requests per second bullProvides leadership in advancing Client understanding of environmentalexternal influences on field performance and risk factors bullWorking at all stages of the software life cycle Proof of Concept, MVP, Production, and Deprecation Minimum Requirements bullBSc degree in Computer Science or relevant job experience. bullMinimum of 2-year experience with Python, Java, Go, or similar development languages. bullExtensive knowledge in different programming or scripting languages like Go, Scala, Java, Javascript, SQL, Bash, Python andor R. bullExperience developing HTTP APIs (REST andor GraphQL) that serve up data in an open source technology, preferably in a cloud environment. bullAbility to build and maintain modern cloud architecture, e.g. AWS, Google Cloud, etc. bullExperience working with PostgreSQLPostGIS. bullExperience with code versioning and dependency management systems such as GitHub, SVT, and Maven. bullProven success utilizing Docker to build and deploy within a CICD Environment, preferably using Kubernetes. Desirable qualifications bullMSc in Computer Science or related field. bullDemonstrated knowledge of open-source geospatial solutions like GeoServer, GeoTrellis, GeoMesa. bullExperience with stream processing, e.g. Kafka. bullHighly proficient (4 years) in GoLang bullExperience working with customersother developers to deliver full-stack development solutions e.g collect software, data, and timeline requirements in an Agile environment. bullDemonstrated knowledge of agriculture andor agriculture-oriented businesses. bullExperience implementing complex data projects with a focus on collecting, parsing, managing, and delivery of large sets of data to turn information into insights using multiple platforms. bullDemonstrated experience adapting to new technologies. bullCapable to decide on the needed hardware and software design needs and act according to the decisions. The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. bullExperience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures should be present. bullExperience creating cloud computing solutions and web applications leveraging public and private API's. bullProven experience (2 years) with distributed systems, e.g. Argo, Kubernetes, Spark, distributed databases, grid computing. bullProficient (4+ years) working in a Command Line Interface system e.g Docker, Argo, K8s, AWS CLI, GCloud, pSQL, SSH Benefits

Keywords: Rose International, St. Louis , Geospatial Software Engineer, IT / Software / Systems , Saint Louis, Missouri

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