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Advanced Python Developer (NoSQL)

  • Full Time, onsite
  • Nityo Infotech Corporation
  • Hybrid, United States of America
Salary undisclosed

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Job Title: Advanced Python Developer (NoSQL)

Job Location: NJ, Dallas, (Delaware is least preferred)

Job type: Full Time

There will be hard core coding test; They are looking for exp. in Advance Python, Fast API development, (NO/SQL, MongoDB).

Job Responsibilities:

  • Python Scripting: Write complex reusable and efficient Python scripts for automating processes data handling and system operations.
  • Design develop and maintain advanced Python applications using classes functions and data structures.
  • Work with Pandas and NumPy for data analysis and processing leveraging Python scripts to handle large datasets efficiently.
  • Create Python scripts to automate repetitive tasks data pipelines and infrastructure management processes.
  • Build deploy and maintain APIs using Python ensuring seamless integration with other systems.
  • Kubernetes containerization is a must for deployment and orchestration of applications.
  • Utilize one of the major cloud platforms (AWS Azure or Google Cloud Platform) for scalable deployment and management of Python applications.
  • Implement and maintain a NoSQL database (MongoDB is a plus) for dynamic data storage and retrieval.
  • Ensure Python scripts and applications follow best practices including version control testing and optimization.
  • Debug and troubleshoot issues within Python scripts applications and libraries ensuring high performance and efficiency.
  • Collaborate with cross-functional teams to define software requirements and implement Python-based automation solutions.

Required Skills:

Advanced Python Scripting:

  • Expertise in Python scripting for automation data processing and infrastructure management.
  • Ability to write clean modular and reusable scripts.

Strong Python Proficiency:

  • Deep understanding of Python core concepts like functions classes loops and data structures.

Pandas & NumPy Expertise:

  • Experience with handling and assessing large data sets efficiently using Pandas and NumPy.

API Development:

  • Strong experience in building RESTful APIs and microservices architecture using Python.

NoSQL Database Experience:

  • Hands-on experience with one NoSQL database (MongoDB is a plus).

Cloud Experience:

  • Experience with at least one of the major cloud platforms (AWS Azure or Google Cloud) for application deployment and management.

Kubernetes Containerization:

  • Extensive experience with Kubernetes for containerization and orchestration.

Data Structures & Algorithms:

  • Solid understanding of advanced Python data structures and algorithms for optimal problem-solving.
  • Strong familiarity with NoSQL databases at scale (e.g. MongoDB Cassandra CouchDB).

Preferred Skills (Optional):

  • Experience with CI/CD pipelines and other DevOps tools.
  • Familiarity with task scheduling and job orchestration tools like Airflow.
  • Knowledge of performance tuning and optimizing Python applications and scripts for scalability.

Education:

  • Bachelor s degree in computer science engineering or a related field or equivalent work experience.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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