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Python Developer with ETL and PostgreSQL

Python Developer with ETL and PostgreSQL
Radiant Digital
1 month ago

About Us

Radiant Digital delivers technology consulting and business solutions for commercial and government clients.

Our flexible delivery model allows us to provide end-to-end solution delivery, single project execution, and, or strategic resources.

CMMI Maturity Level III and ISO 9001 - 2015 certified.


We are seeking a skilled Python Developer with expertise in PostgreSQL database management, spatial data handling, and multiprocessing solutions. The ideal candidate will play a crucial role in designing, developing, and optimizing our spatial data processing pipelines and applications.


  • Design, develop, and maintain Python-based applications and tools for spatial data analysis and visualization.
  • Implement and optimize PostgreSQL database schemas, queries, and performance tuning for spatial data management.
  • Develop multiprocessing solutions to enhance data processing efficiency and scalability.
  • Collaborate with cross-functional teams to understand requirements and deliver robust, scalable solutions.
  • Stay updated on industry trends and emerging technologies in spatial data analysis, Python development, and database management.

MUST HAVE SKILLS (Most Important)

Bachelor's degree in Computer Science, Engineering, or related field.

  • Proven experience (8 years) in Python development, with a focus on data processing and analysis of spatial data.
  • Strong proficiency in PostgreSQL database management, including schema design, query optimization, and performance tuning.
  • Experience working with spatial data formats (e.g., GeoJSON, Shapefiles) and libraries (e.g., GeoPandas, Shapely).
  • Familiarity with multiprocessing techniques and libraries (e.g., multiprocessing, concurrent.futures) for parallel processing.
  • Excellent problem-solving skills and ability to work effectively in a fast-paced, collaborative environment.
  • Strong communication skills and ability to articulate technical concepts to non-technical stakeholders.


  • Master's degree in Computer Science, Engineering, or related field.
  • Experience with GIS (Geographic Information Systems) tools and libraries (e.g., GDAL, PostGIS).
  • Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and related services (e.g., S3, EC2, Google BigQuery).
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) for deployment and scalability.
  • Contributions to open-source projects related to Python development or spatial data analysis.

Expertise level

Key skills

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