{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Ssr. Data Engineer","description":"

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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