全职 GIS - Solution Architect 工作, 薪水 up to SGD 14,500, COGNIZANT TECHNOLOGY SOLUTIONS ASIA PACIFIC PTE. LTD. West Region (Singapore) 公司招聘中 - Ricebowl

Key Responsibilities:

• Lead the design, development, and implementation of complex technology solutions, including but not limited to:GIS Solution, Spatial data modelling and analysis, Geospatial data integration and management and Location-based services (LBS)
  Cloud-native applications and microservices architectures
  Data warehousing and business intelligence solutions, Remote sensing and image processing and Geospatial data visualization and reporting
  Cybersecurity and data privacy solutions
  
• Design and implement comprehensive GIS solutions using the ArcGIS suite of products and ArcGIS development Technologies
• Collaborate with business stakeholders to understand their requirements and translate them into technical specifications
• Conduct feasibility studies and proof-of-concept projects to evaluate new technologies and solutions.
• Develop and maintain technical documentation, including architecture diagrams, design documents, and implementation plans.
• Ensure adherence to industry best practices for data quality, accuracy, and security in development and GIS environments.

Qualifications:

• Bachelor's or Master's degree in Computer Science or Information Technology.
• Strong experience as a Solution Architect and GIS Architect.
• Extensive experience with ArcGIS and the ArcGIS suite of products, and expertise in one or more GIS platforms (e.g., QGIS, GeoServer).
• Strong expertise in cloud platforms, particularly Azure and AWS
• Proficiency in Microsoft development technologies (e.g., .NET, C#, ASP.NET), web development (HTML, CSS, JavaScript, Angular, React), and mobile development (iOS, Android).
• Strong understanding of GIS principles, geospatial data formats (e.g., Shapefile, GeoJSON, GeoTIFF), database technologies (relational and NoSQL), and data warehousing principles.
• Experience with Agile development methodologies, web mapping frameworks (e.g., Leaflet, Mapbox GL JS), geospatial data science, machine learning techniques, remote sensing, and image processing software.
• Excellent problem-solving, communication, presentation, and interpersonal skills, with the ability to work independently and as part of a team, and relevant industry certifications (e.g., Esri Certified Professional).