Ssr. Data Engineer

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

• 1 to 3 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.