- This position will partner with Data Scientists and Data Engineers to operationalize machine learning and optimization models that deliver new insights to the business
- Build data APIs and data delivery services that support critical operational and analytical applications for Client's internal business operations, customers, and partners
- Take responsibility for ensuring that model code, data pipelines, API's, and user interfaces are developed and deployed successfully into production
- Troubleshooting issues that arise and supporting production applications
- Continuously integrate code into Client's on premise and AWS cloud environments
- Transform data science protypes into "production-ready" software products
- Ensure a good data flow between database and backend systems
- Optimize solutions for performance and scalability
- Ensure that the Client methodology, standards, and procedures are implemented
- Ensure that solutions meet the customers' business goals and that customer satisfaction with the project and conclusion is high.
- Coordinate activities with internal and external technology service providers.
- Consult within project team members, other Client teams, and outside vendors or consultants to ensure product integrity
- Coach and mentor other developers on the team
- BS/MS degree, preferably in a technical or scientific field
- 5-7 years of experience 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 with an emphasis on 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
- 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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Sr. Full Stack Developer - Bloomington, United States - Pyramid Consulting
Description
Immediate need for a talented SENIOR Full Stack Developer. This is a 12 + Monthscontract opportunity with long-term potential and is located in Bloomington, MN.Please review the job description below and contact me ASAP if you are interested.
Job ID:
Pay Range: $60.28/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:
Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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