GIS/ GeoSpatial Data Engineer (3D Map)

May 5, 2026

Open

Location

Vietnam

Occupation

Full-time

Experience level

Senior

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Job Summary

Vị trí này mang đến cơ hội làm việc từ xa với DigiEx Group tại Việt Nam, hợp đồng dài hạn từ 12–20 tháng và mức lương cạnh tranh thương lượng. Bạn sẽ chịu trách nhiệm thiết kế dashboard, bản đồ 3D, phân tích dữ liệu không gian cho taxi, phát triển API địa lý, phối hợp cùng đội ngũ mobile và xử lý dữ liệu địa lý chính phủ thành insight, phù hợp cho những ai yêu thích công nghệ mới và tác động xã hội.

Yêu cầu ứng viên thành thạo PostgreSQL/PostGIS, Microsoft SQL Server, hiểu sâu về OGR2OGR, GDAL, phân tích dữ liệu với DuckDB và ưu tiên biết thêm Python (GeoPandas, Shapely). Ứng viên có kiến thức về quy hoạch đô thị và từng xây dựng pipeline dữ liệu địa lý sẽ được đánh giá cao.

Cơ hội hợp tác quốc tế, tiếp xúc công nghệ bản đồ 3D, "Digital Twin", cùng dự án hướng tới hỗ trợ xã hội và môi trường làm việc ổn định lâu dài.

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About DigiEx Group

DigiEx Group is a leading innovation technology company based in Vietnam, led by an international leadership team with over 20 years of experience in the IT industry & digital finance. Our mission is to build a technology ecosystem and digital talent hub in the country to enable global tech companies to find the resources they need to drive their digital transformation initiatives. We offer a range of innovative solutions including digital talent services, custom software development, cloud migration and management, and emerging tech R&D. Our tailored solutions are designed to meet the unique needs of each client, and our experienced team works closely with businesses to ensure their success in the rapidly evolving digital landscape.

Primary Description

DigiEx Group · Vietnam (Remote)

Description

KEY RESPONSIBILITIES

3D Visualization & Dashboards: Design and implement interactive 3D map functionalities and high-performance dashboards for executive stakeholders.
Spatial Analysis & Optimization: Conduct deep spatial analysis to optimize taxi distribution based on orphan population density, historical demand, and urban accessibility.
API Development: Develop and maintain robust geospatial APIs using FastAPI/Django to serve data from the backend to mobile and web applications.
Cross-platform Support: Collaborate with mobile developers to integrate map features and location-based services (LBS).
Data Orchestration: Process, clean, and convert complex governmental geospatial datasets into actionable insights and optimized layers.

TECHNICAL REQUIREMENTS

Database & Data Architecture
Dual-Stack Expertise: Strong proficiency in both PostgreSQL/PostGIS and Microsoft SQL Server (MSSQL).
Performance Tuning: Proven experience in designing schemas optimized for large-scale data retrieval and complex spatial joins.
Geospatial & Analysis
Geospatial & Analysis
Tooling: Deep hands-on experience with OGR2OGR and the broader GDAL ecosystem.
Spatial Logic: Ability to conduct spatial analysis for logistics (routing, demand zones, and asset distribution).
Visualization: Solid understanding of 3D geospatial data within an urban planning context.
Advanced Analytics
Modern OLAP: Practical experience working with DuckDB for high-speed analytical processing.

Nice to Have (Plus)

Python for GIS: Strong proficiency in building spatial data pipelines using GeoPandas, Shapely, and Pandas.
API Development: Experience with REST APIs and packaging spatial data formats (e.g., GeoJSON) for mobile and front-end consumers.
.NET/C# Ecosystem: Foundational understanding of the .NET framework is a significant advantage, ensuring seamless integration with existing government backend layers.
GDAL Ecosystem: Comprehensive knowledge of advanced vector and raster manipulation beyond basic OGR2OGR commands.

WHY YOU SHOULD JOIN?

Social Impact: Work on a project with a meaningful mission: supporting the welfare of orphans.
Cutting-edge Tech: Engage with advanced 3D mapping and "Digital Twin" technologies at a governmental scale.
Global Exposure: Gain experience working with international stakeholders in the Middle East (Saudi Arabia).
Long-term Stability: A stable 12–20 month contract with a negotiable, competitive monthly rate.