Python Developer Job at PTR Global, Minneapolis, MN

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  • PTR Global
  • Minneapolis, MN

Job Description

About the Company:

We are seeking a skilled Python Developer with expertise in Python, , JavaScript, and containerization technologies such as Kubernetes and Docker. In this role, you will contribute to the development of high-performance applications, focusing on data processing, cloud-native solutions, and containerized environments.

About the Role:

Key Responsibilities:

  • Develop scalable and efficient Python applications to process and analyze large datasets using Apache Spark.
  • Leverage Kubernetes and Docker for containerization, ensuring smooth deployment and orchestration of applications in cloud environments.
  • Implement backend logic and APIs in Python, collaborating with frontend teams to integrate with JavaScript-based solutions.
  • Optimize data processing pipelines, ensuring high performance and scalability.
  • Work with cross-functional teams to ensure seamless system integration and resolve issues related to performance, scalability, and reliability.
  • Contribute to maintaining and optimizing CI/CD pipelines for automated deployment and testing.

Qualifications:

Strong experience with Python for backend development, including data processing and system integration.

Proven expertise with Apache Spark for handling large-scale data sets and performing distributed data processing.

Solid understanding of JavaScript for application integration and building scalable solutions.

Hands-on experience with Kubernetes and Docker for containerization and orchestration.

Familiarity with cloud platforms (AWS, GCP, or Azure) and cloud-native applications.

Experience with building and optimizing data pipelines.

Ability to troubleshoot and resolve complex technical issues, optimizing application performance.

Preferred Experience:

  • Experience with CI/CD pipelines and automated deployment strategies.
  • Understanding of microservices architecture and distributed systems.
  • Familiarity with relational and NoSQL databases.

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