We are looking for a motivated and skilled Data Engineer 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:
The candidate must have 1 to 4 years of experience in data engineering, with exposure to geospatial data and optimization algorithms.
Proficiency in Python and SQL is required.
Experience with Apache Spark and Databricks is necessary.
Familiarity with 3D simulation platforms is highly desirable.
Knowledge of optimization tools such as CuOpt, Gurobi, or CPLEX is essential.
Experience with cloud platforms (AWS, Azure) and scalable data architectures is required.
Strong analytical and problem-solving abilities are a must.
Good communication and teamwork skills are necessary.
Fluent English is mandatory.
Benefits:
This position offers the flexibility of a remote work environment.
You will have the opportunity to work with cutting-edge technologies and innovative projects.
Collaboration with cross-functional teams will enhance your professional development.
The role provides a chance to contribute to impactful simulation and decision-making tools.
You will gain experience in maintaining and optimizing data and geospatial databases.
