Python AWS Developer

Nexiva • Malvern, PA

1d • Hybrid

About The Position

Multiple openings for a Python AWS Developer in Malvern, Pennsylvania. The role uses Python and AWS to develop scalable applications, APIs, automation, data-processing and backend services, and involves data science, visualization, distributed processing, REST APIs, and frontend development. The work arrangement is hybrid. Work authorization is open, but candidates must be on the employer’s W-2. Rate is open depending on experience.

Requirements

• Strong hands-on experience developing scalable applications, APIs, automation, data processing, and backend services using Python.
• Experience with NumPy for numerical computing, arrays, mathematical operations, and data processing.
• Strong experience with Pandas for data manipulation, cleaning, transformation, analysis, and large datasets.
• Experience developing and implementing machine-learning models with Scikit-learn, including data preprocessing and model evaluation.
• Experience building interactive data-visualization and analytics applications using Python Dash.
• Experience with Dask for parallel and distributed data processing, particularly for large datasets.
• Experience developing REST APIs and lightweight web applications using Flask.
• Experience working with AWS services programmatically through Python and Boto3.
• Strong hands-on experience with AWS cloud services, application deployment, storage, compute, data services, and cloud integrations.
• Experience developing modern, responsive React frontend applications and integrating React with backend services and APIs.
• Must be able to work on the employer’s W-2.

Responsibilities

• Develop scalable applications, APIs, automation, data-processing solutions, and backend services using Python.
• Perform numerical computing, data manipulation, cleaning, transformation, analysis, and processing of large datasets.
• Develop and implement machine-learning models, including data preprocessing and model evaluation.
• Build interactive data-visualization and analytics applications using Dash.
• Use parallel and distributed processing for large datasets with Dask.
• Develop REST APIs and lightweight web applications using Flask.
• Work with AWS services programmatically using Boto3 and deploy or integrate applications with AWS cloud services.
• Develop responsive React frontend applications and integrate them with backend services and APIs.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed