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The Full Stack Developer role at the Quantitative Data Intelligence (QDI) team is a key role for the growth of the platform in Global Markets. You will be responsible for building Web Applications (full-stack) and data APIs that will be used by thousands of users within Global Markets. You will also collaborate with transversal teams on implementing and improving security and authentication systems such as SSO and LDAP with also implementing RBAC and user management protocols over our applications.
Job Responsibility:
Develop, maintain and support modern, reactive and responsive Web Applications
Develop, maintain and support custom APIs
Develop and optimize solid backend solutions for both Web Applications and APIs, handling sometimes big volumes of data
Integrate our interfaces with SSO systems
Communicate with stakeholders and build the target Use Experience for our Web Applications
Communicate with stakeholders and achieve the desired outcome for our APIs
Develop, maintain and support RBAC and User Management models
Understand and be the point of contact for the business and assess its needs
Ensure that the target architecture meets business requirements
Prioritize and manage multiple projects simultaneously, meeting deadlines and delivering high-quality results
Efficiently deliver in an Agile environment
Requirements:
Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
3+ years of Full-Stack development experience, end-to-end web application delivery
Professional experience with Python Web Frameworks (Django, Flask, FastAPI)
Professional experience developing and maintaining data-centered APIs
Work experience with Front-End frameworks (React, Angular)
Strong knowledge on Web UI and UX, with strong fundamentals (HTML, CSS, JS)
Strong knowledge on implementing authentication and directory services (SSO, LDAP)
Experience implementing RBAC models and User Management systems
Availability to work in the hybrid model or in person in the Porto or Lisbon office
Nice to have:
Knowledge on data analysis and data handling are a plus
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