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Consultant -Data Portal

Job Description - Consultant -Data Portal

Description

This role requires a combination of excellent technical skills, problem-solving ability, and prior hands-on experience building platforms for large-scale data access and distribution.



Responsibilities
  • Front-End Development:
    • Design, develop, and maintain the user interface of the dissemination portal using React and modern front-end best practices.
    • Implement responsive, accessible, and performant UI components.
  • Integration & Backend Collaboration:
    • Integrate the front-end with backend APIs, ensuring smooth data flow and user interactions.
    • Collaborate closely with backend engineers to connect the UI with the semantic layer for enriched data representation.
  • Architecture & Best Practices:
    • Contribute to overall application architecture, ensuring scalability, maintainability, and security.
    • Review and optimize existing code for performance and quality.
  • Data Dissemination Portal Expertise:
    • Apply prior experience in designing and developing web portals for data dissemination, including data filtering, visualization, and download features.
  • Collaboration & Mentorship:
    • Work closely with cross-functional teams including data engineers, UX designers, and product managers.
    • Mentor junior developers, fostering knowledge sharing and coding best practices.


Qualifications
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
  • Hands-on experience AI assisted coding.
  • 7+ years of professional experience in full stack web development.
  • Strong proficiency in React, JavaScript, HTML5, and CSS3.
  • Proven experience integrating front-end applications with backend APIs and semantic layers.
  • Previous hands-on experience developing data dissemination web portals.
  • Solid understanding of RESTful APIs, GraphQL, or other API paradigms.
  • Backend technology experience (Node.js, Python, Java, Express JS/ Fastify and graphql).
  • Frontend and Data visualization libraries (e.g., D3.js, Highcharts, Plotly).
  • Familiarity with relational and/or NoSQL databases.


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