Ssr. Data Engineer - Remote

Overview

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.

In Short

• 1 to 4 years of experience in data engineering.
• 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).
• Strong analytical and problem-solving abilities.
• Good communication and teamwork skills.
• Fluent English is mandatory.

Requirements

• 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 for enhanced system performance.
• Collaborate with cross-functional teams to deliver impactful simulation and decision-making tools.
• Analyze and improve the performance and scalability of systems and algorithms.
• Work with cloud platforms to deploy and manage data and optimization solutions.
• Maintain geospatial databases using tools like PostGIS and ArcGIS.

Benefits

• Opportunity to work on innovative projects.
• Collaborative work environment.
• Access to cutting-edge technologies.