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Python Developer

Python Developer
Dice
7 months 2 weeks ago

Job Opportunity Details

  • Position: Python Software Engineer/Python Data Engineer
  • Schedule: Monday-Friday (1/2 day on Friday)
  • Location: Onsite, Downtown Houston
  • Final Round: Face to Face
  • Client: Enterprise Products Partners
  • Priority: Role already receive 2 placements with the same client

Job Description

We are currently seeking an experienced Python Software Engineer to join the Big Data and Advanced Analytics department. The Python Software Engineer will work closely with Data Engineers and Data Scientists to solve real-world oil and gas midstream problems using advanced analytics and machine learning.

Qualifications

  • 10+ years of programming experience in Python
  • Expertise in developing and maintaining data pipelines
  • Experience in software engineering practices such as Design Principles and Patterns, Unit Testing, Refactoring, CI/CD, and version control
  • Expertise in Object-Oriented Design Principals and Functional Programming Principals
  • Experience with common Python Data Engineering packages including Pandas, Numpy, Pyarrow, Pytest, Scikit-Learn, and Boto3
  • Experience in implementing distributed computing systems
  • Experience in designing modular, reusable software components
  • Experience in developing API endpoints and microservices

Responsibilities

  • Work directly with subject matter experts to develop high quality, reliable, scalable software products
  • Design and implement frameworks and tools to streamline the machine learning process
  • Implement data manipulation and transformation logic to support various use cases
  • Leverage software architecture and design patterns to develop fault tolerant microservices
  • Document code and architectural decisions to support maintainability
  • Implement processes to ensure coding standards, code quality, documentation, and test coverage

Application Details

Python Developer (Onsite in Houston Texas and Face to Face Interview)

Expertise level

Work arrangement

Key skills

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