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Ssr. Data Engineer

We are looking for a motivated and skilled Data Engineers with a solid foundation in data pipeline development, geospatial data handling, and optimization algorithms. This role involves working with cutting-edge technologies including 3D simulation platforms, real-time data integration, and advanced optimization tools. You will contribute to the design, implementation, and optimization of data-driven solutions within simulation environments. The ideal candidate is passionate about technology, eager to work on innovative projects, and capable of collaborating across multidisciplinary teams.

Requirements

    • 1 to 4 years of experience in data engineering, with exposure to geospatial data and optimization algorithms.
    • Proficiency in Python and SQL.
    • Experience with Apache Spark and Databricks.
    • Familiarity with 3D simulation platforms is highly desirable.
    • Knowledge of optimization tools such as CuOpt, Gurobi, or CPLEX.
    • Experience with cloud platforms (AWS, Azure) and scalable data architectures.
    • Strong analytical and problem-solving abilities.
    • Good communication and teamwork skills.
    • Fluent English is mandatory.

Responsibilities

    • Design, develop, and maintain data pipelines supporting geospatial and optimization workflows.
    • Integrate data sources such as Apache Kafka, S3, and others into simulation environments.
    • Develop and optimize real-time pipelines using tools like Apache Spark and Databricks.
    • Implement and customize optimization algorithms or modules (e.g., CuOpt, Gurobi, CPLEX) for enhanced system performance.
    • Collaborate with cross-functional teams including data scientists and engineers to deliver impactful simulation and decision-making tools.
    • Analyze and improve the performance and scalability of systems and algorithms.
    • Work with cloud platforms (AWS, Azure) to deploy and manage data and optimization solutions.
    • Maintain geospatial databases using tools like PostGIS and ArcGIS.
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NTD software

Employment type

Full-Time

Location

Remote Position

Salary range

Prefer not to share

Posted

12 hours ago

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