Cloud Engineer - TekWissen LLC
Saint Louis, MO
About the Job
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. 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: Cloud Engineer
Location: St Louis, MO, 63146
Duration: 12 Months
Job Type: Contract
Work Type: Remote
Job Description:
- 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 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, analysing 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's 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 API-based 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 API's and associative architecture to support thousands of requests per second
- Provides leadership in advancing client's 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. 7 years plus overall experience.
- Minimum of 2-year experience with Python, Java, Go, 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 open-source 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 full-stack development solutions e.g collect software, data, and timeline requirements in an Agile environment.
- Demonstrated knowledge of agriculture and/or agriculture-oriented 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 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.
- Experience creating cloud computing solutions and web applications leveraging public and private API's.
- 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.
Source : TekWissen LLC
