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    TWO AWS Developers - Minneapolis, United States - Saxon Global

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    Description

    REQUIRED:

    • BS/MS degree, preferably in a technical or scientific field
    • 5-7 years of hands-on experience designing, developing, integrating, and running business, big data, and/or data science applications
    • 1-2+ years of hands-on experience working with AWS as a developer
    • Experience developing Angular applications.
    • Experience developing with Java, SQL, and building REST APIs
    • Experience working with AWS services, emphasizing managed services such as Lambda, DynamoDB, SQS, EventBridge, Step Functions, Aurora, S3, and API Gateway
    • Experience developing infrastructure-as-code using AWS tools (e.g., Cloud Development Kit, Cloud Formation)
    • Experience with automating application deployment, continuous delivery, and continuous integration (Git, GitLab, Jenkins)
    • Experience using Agile/Scrum methodologies.
    • Experience with backlog management tools (e.g., VersionOne, JIRA)
    • Strong problem-solving skills and capability to understand and set direction for complex technology integration.
    WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):
    • Experience with design patterns and implementation for machine learning and data science products
    • Experience with design patterns and implementation using microservices architecture.
    • Understanding or experience with loose coupling of front-end modules on AWS
    • Experienced with deploying and managing infrastructures based on Docker, OpenShift, and AWS
    • Knowledge of data engineering and experience with big data
    • Experience with Redux/Flux/NgRx store implementation
    • Experience developing, testing, and deploying APIs using Python-based frameworks such as Flask, FastAPI, and/or GraphQL
    • Experience writing complex SQL queries (e.g., queries involving joins and subqueries) and experience with both SQL and NoSQL databases (PostgreSQL and AWS DynamoDB preferred)
    • Experience working with AWS Machine Learning tools (e.g., AWS SageMaker)
    • Experience with data visualization frameworks such as D3
    • Understanding and focus on business outcomes.
    • Strong teamwork skills

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