CommunityJobsAdviceEventsReviewsFor EmployersFor ClientsCoach Connect
CommunityJobsAdviceEvents
JOB SEARCH

Full Stack Data Applications Developer

Finastra

Guadalajara, Mexico

#10034

Position summary

seamlessly.

  • UI/UX Enhancement: Work closely with UI/UX designers to design and build intuitive dashboards, visualization tools, and user-centric applications that offer insights and drive value for loan officers and borrowers.

  • Automation and Intelligence: Build automated workflows and intelligent system components such as pre-filled forms, smart recommendations, and dynamic user prompts.

  • Quality Assurance and Optimization: Ensure the quality, reliability, and performance of integrated features through thorough testing, debugging, and continuous improvement.

  • Collaboration: Partner with cross-functional teams, including product management, data engineers, architects, and line-of-business teams to deliver solutions that align with business needs and improve the borrower experience.

Required Skills and Experience:

  • Technical Proficiency: Strong experience in developing web and mobile applications using JavaScript frameworks like React, Angular, or Vue.js. Familiarity with back-end frameworks like .NET, Node.js, or Python Flask/Django is highly desirable.

  • API Integration: Experience designing, developing, and integrating RESTful APIs to facilitate data interaction and feature delivery.

  • Database and Data Modeling: Working knowledge of relational and NoSQL databases (e.g., SQL Server, MongoDB), with the ability to design efficient data models that facilitate real-time data interaction and insights.

  • Cloud and DevOps Expertise: Familiarity with cloud platforms like Microsoft Azure or AWS and working knowledge of DevOps principles, including CI/CD and automated testing.

  • Data Visualization Skills: Experience developing interactive and dynamic dashboards using visualization tools such as Power BI or Tableau.

  • Agile Collaboration: Strong understanding of Agile methodologies and experience working within a fast-paced, iterative development environment.

  • University Degree in a technical field such as Computer Science, Software Engineering, etc. or equivalent.

The following experiences and/or qualifications would be an asset:

  • Experience working in fintech or lending sectors.

  • Familiarity with integrating machine learning models into production applications.

  • Demonstrated experience in developing secure, scalable applications.