Dashboard Systems Engineer & Data Backup Expert

FAO

Indonesia

On-site

IDR 200,880,000 - 334,800,000

Part time

2 days ago
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Job summary

FAO is hiring for a Dashboard System Development and Data Backup Specialist under the MERANTI initiative in Indonesia. The role focuses on building web dashboards, integrating NFI 2.0/IHM data, and ensuring robust data backup and system performance.

Strong English and Bahasa Indonesia skills and five years of web dashboard experience are required. Reporting to FAO Indonesia, you will work within a cross-functional team to implement scalable dashboard solutions and improve data visualization for

Qualifications

  • University degree in Information Technology, Computer Science, Information Systems, Software Engineering, or another relevant field.
  • At least five (5) years of professional experience in web application development and dashboard system development.
  • Working knowledge of English and Bahasa Indonesia.

Responsibilities

  • Assist in developing or enhancing priority dashboard modules displaying NFI 2.0 and IHM data, analytical outputs, and forest monitoring information.
  • Assist in developing or enhancing dashboard layout, navigation, usability, and responsiveness based on user requirements.
  • Assist in ensuring the dashboard modules are usable across standard desktop and mobile viewing environments.

Skills

English
Bahasa Indonesia
Analytical skills
Team collaboration
Problem solving

Education

University degree in IT

Tools

MySQL/PostgreSQL
D3.js/Chart.js
Leaflet/OpenLayers

Job description

FAO is hiring for a Dashboard System Development and Data Backup Specialist under the MERANTI initiative in Indonesia. The role focuses on building web dashboards, integrating NFI 2.0/IHM data, and ensuring robust data backup and system performance.

Strong English and Bahasa Indonesia skills and five years of web dashboard experience are required. Reporting to FAO Indonesia, you will work within a cross-functional team to implement scalable dashboard solutions and improve data visualization for

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