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Dice

URGENT: Python Backend Developer

Dice, New York, New York, us, 10261


Dice is the leading career destination for tech experts at every stage of their careers. Our client, HR Giants, is seeking the following. Apply via Dice today!Job Title: Python Backend Developer

Duration: Long Term

Location: New York, NY (Hybrid mode)

Interview: Immediate

Description:

We are seeking a skilled Python Developer with expertise in 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.Responsibilities:

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:

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 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.Desired Skills:

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.

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