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    Geospatial data engineer - Riyadh, المملكة العربية السعودية - Arabic Computer Systems

    Arabic Computer Systems
    Arabic Computer Systems Riyadh, المملكة العربية السعودية

    تم العثور عليها في: Talent SA C2 - منذ 4 أيام

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    دوام كامل
    وصف

    Arabic Computer Systems, one of the largest ICT Companies in Saudi Arabia, is seeking a Geospatial Data Engineer to join their growing team. As a Geospatial Data Engineer, you will be responsible for designing, developing, and maintaining geospatial databases, systems, and applications, as well as analyzing and interpreting complex data. Arabic Computer Systems is well-known for its leadership in the industry, serving government entities and leading companies in the Middle East. With a team of over 3,000 IT professionals covering 23 cities in Saudi Arabia, ACS is always expanding and keeping up with the latest technologies to cater to its customers' changing needs.

    Responsibilities

    • Design, develop, and maintain geospatial databases, systems, and applications.
    • Analyze and interpret complex geospatial data sets, and provide recommendations for data collection and analysis.
    • Identify and solve data-related problems by developing innovative solutions.
    • Ensure the quality and accuracy of data used in geospatial applications and systems.
    • Collaborate with other team members and stakeholders to implement geospatial data-related projects.
    • Develop and maintain documentation and user guides for geospatial applications and systems.
    • Stay up-to-date with the latest trends and technologies in the geospatial data field.

    Requirements

    • Bachelor's degree in Computer Science, Geography, GIS, or related technical field.
    • 5+ years of experience in geospatial data engineering and analysis.
    • Strong knowledge of geospatial data concepts, databases, and tools (e.g., ArcGIS, QGIS, Oracle Spatial, PostGIS).
    • Proficiency in SQL and scripting languages (e.g., Python, R).
    • Experience with ETL tools and processes for geospatial data.
    • Familiarity with cloud platforms (e.g., AWS, Azure) and their geospatial services.
    • Excellent analytical and problem-solving skills.
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