Назад
2 дня назад

Frontend Engineer (Data Product Service Development)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SK
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Описание вакансии

Frontend Engineer - Data Product Service Development

Company

Dunamu

Conditions

20 hours agoLead Seoul, South Korea Onsite Full Time Frontend Jobs by Dunamu

Skills

Ssr Nuxt Unit Visualization Vite Webpack Typescript Architecture Next.Js Testing Aws Vue React Kubernetes Api Webgl Canvas E2e Ui Seo

About the Role

You will develop data visualization web services and dashboards. You will build high performance charts and interactive graphs using Canvas and WebGL. You will design and maintain a reusable UI component architecture across products. You will develop marketing and internal admin pages. You will handle real time data processing and visualization of large datasets. You will implement real time data handling and caching strategies and set up automated testing environments.

Requirements

  • 5+ years of web service development experience or equivalent practical experience
  • TypeScript React Vue Nuxt Next.js experience
  • Canvas WebGL for high performance rendering and real time data visualization
  • React Query for server state management and large data caching
  • SSR and SEO optimization experience
  • Experience building commercial services across multiple domains (B2C B2B internal tools marketing pages)
  • Web standards compliant responsive UI implementations
  • Experience collaborating with product managers designers backend developers
  • Requirements analysis based feature implementation and unit and E2E testing for quality
  • Performance optimization under high traffic and rapid deployment

Responsibilities

  • Develop data visualization web services
  • Implement high performance charts and interactive graphs using Canvas and WebGL
  • Design and maintain a reusable UI component architecture across products
  • Develop marketing and campaign pages
  • Develop and maintain internal admin systems
  • Handle real time data processing and visualization for large datasets
  • Implement real time data handling and caching strategies
  • Set up automated testing environments

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