Work with large-scale geospatial datasets and develop robust Python-based data processing pipelines.
Implement advanced spatial SQL queries and work with relational databases for geospatial analysis.
Build and maintain AWS-based architectures for scalable data processing and application deployment.
Design and implement API-driven data extraction, including handling JSON and XML formats.
Collaborate with engineering teams, data scientists, and customer stakeholders to refine requirements and deliver high-quality solutions.
Contribute to coding standards, review peer code, and ensure high-quality, efficient, and reusable software.
Participate in agile development processes, knowledge sharing, and continuous improvement initiatives.

Advanced Python development skills, particularly in geospatial data processing and automation.
Proven expertise in building automated data pipelines and workflow orchestration.
Working experience with geospatial ML/AI techniques, spatial analysis, and feature engineering.
Strong proficiency with AWS Cloud services for data engineering, deployment, and scaling.
Experience working with REST APIs, data extraction, and parsing JSON/XML structures.
Solid understanding of Linux/Unix environments and scripting best practices.
Experience using collaboration and version-control tools (Git/GitLab, Jira, Confluence, etc.).
Bachelor’s or Master’s degree in Computer Science, Geoinformatics, Data Engineering, or related field.
5+ years of software engineering or data engineering experience, with a strong Python focus.
Ability to write clean, efficient, repeatable, and reliable code.

Senior Python Engineer, GenAI

Key skills