Python Developer

Position: Senior Python Web Developer

Location: Warren, NJ (Hybrid from 3 days a week to biweekly, subject for discussion)

Duration: Long-term contract

Interviews: (3 Rounds): All the interviews within one week.

Project Description:

The goal of this project is to develop a web application on top of aggregated enterprise data. The application may also need to integrate with Power BI dashboards, depending on final project requirements and technical feasibility.

Primary Responsibilities:

• Develop and maintain web applications and backend services using Python-based frameworks.
• Build and support APIs and data connectivity workflows between the application, enterprise systems, and data platforms.
• Support integration with Power BI dashboards, where applicable.
• Integrate the application with cloud data platforms such as Databricks or comparable analytics/data warehouse tools.
• Support deployment and operationalization of enterprise web applications in collaboration with IT teams.
• Assist with application configuration, environment setup, testing, and release management.
• Troubleshoot deployment, connectivity, authentication, and application performance issues.
• Collaborate with IT infrastructure, data, and business teams to gather technical requirements and implement solutions.
• Participate in documentation, system monitoring, and ongoing application support activities.
• Contribute to application security, authentication, and access management best practices.
• Support GIS-related functionality if such requirements are introduced as the project matures.

Required Skills and Experience:

• Strong experience with Python web application development.
• Experience with modern Python web frameworks such as Flask, FastAPI, or Django.
• Experience building or supporting web applications, backend services, and APIs.
• Understanding of cloud-hosted applications and enterprise data connectivity patterns.
• Experience integrating applications with Databricks or similar enterprise data/analytics platforms.
• Familiarity with authentication and access management concepts for enterprise applications.
• Experience with enterprise application deployment concepts and environments.
• Familiarity with version control systems such as Git.
• Strong problem-solving and troubleshooting skills.
• Ability to work effectively with IT infrastructure, data, and business teams.

Preferred Qualifications:

• Experience with Databricks integration and authentication methods.
• Familiarity with enterprise deployment pipelines and CI/CD processes.
• Experience with cloud platforms such as Azure.
• Experience supporting application integration with Power BI dashboards or related reporting tools.
• Familiarity with GIS-related application functionality or spatial data concepts.