Geospatial Software Engineer
Geospatial Software Engineer
نُشرت في :
14-03-2024
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نُشرت في :
14-03-2024
الوصف الوظيفي
Overview:
TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world headquartered in Leverkusen and areas of business include pharmaceuticals; consumer healthcare products agricultural chemicals seeds and biotechnology products.
Job Title: Geospatial Software Engineer
Location: St Louis MO 63146
Duration: 12 Months
Job Type: Contract
Work Type: Remote
Description:
- The Geospatial Software Engineer will be involved in the design of big data solutions that leverage open source and cloudbased 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 largescale data processing systems and APIs and should be able to work with the latest opensource technologies.
- A software engineer should embrace the challenge of dealing with petabytes or even exabytes of data daily in a highthroughput API/microservice 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 Clients Field Platform and R&D product pipeline.
Key responsibilities include:
- Design build and support of cloud and open source systems to process geospatial data assets via an APIbased platform
- Partners 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
- Building highly scalable APIs and associative architecture to support thousands of requests per second
- Provides leadership in advancing Clients understanding of environmental/external influences on field performance and risk factors
- Working at all stages of the software life cycle: Proof of Concept MVP Production and Deprecation
Minimum Requirements:
- BSc degree in Computer Science or relevant job experience.
- Minimum of 2year experience with Go Python Java or similar development languages.
- Extensive knowledge in different programming or scripting languages like Go Scala Java Javascript SQL Bash Python and/or R.
- Experience developing HTTP APIs (REST and/or GraphQL) that serve up data in an open source technology preferably in a cloud environment.
- Ability to build and maintain modern cloud architecture e.g. AWS Google Cloud etc.
- Experience working with PostgreSQL/PostGIS.
- Experience with code versioning and dependency management systems such as GitHub SVT and Maven.
- Proven success utilizing Docker to build and deploy within a CI/CD Environment preferably using Kubernetes.
Desirable qualifications:
- MSc in Computer Science or related field.
- Demonstrated knowledge of opensource geospatial solutions like GeoServer GeoTrellis GeoMesa.
- Experience with stream processing e.g. Kafka.
- Highly proficient (4 years) in GoLang
- Experience working with customers/other developers to deliver fullstack development solutions e.g collect software data and timeline requirements in an Agile environment.
- Demonstrated knowledge of agriculture and/or agricultureoriented businesses.
- Experience 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.
- Demonstrated experience adapting to new technologies.
- Capable 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.
- Experience with objectoriented design coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and largescale data infrastructures should be present.
- Experience creating cloud computing solutions and web applications leveraging public and private APIs.
- Proven experience (2 years) with distributed systems e.g. Argo Kubernetes Spark distributed databases grid computing.
- Proficient (4 years) working in a Command Line Interface system e.g Docker Argo K8s AWS CLI GCloud pSQL SSH
TekWissen Group is an equal opportunity employer supporting workforce diversity.
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