Senior Data Engineer

Summary

Join our team as a Data Engineer and contribute to the design, implementation, and optimization of data-driven solutions within cutting-edge 3D simulation platforms. You will work with real-time data integration and advanced optimization tools, handling geospatial data and leveraging optimization algorithms. This role requires collaboration with multidisciplinary teams, demanding strong analytical and problem-solving skills. Experience with data pipelines, Apache Spark, and cloud platforms is essential. The ideal candidate is passionate about technology and eager to work on innovative projects.

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
• 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

Preferred Qualifications

Familiarity with 3D simulation platforms is highly desirable