Analyst, Senior Data Engineering

Description

Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include: natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.

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.

• 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.

Qualifications

The successful candidate will meet the following qualifications:

• 5+ 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.
• Knowledgeable of DevOps Principles.
• Experience in designing modular, reusable software components.
• Experience in developing API endpoints and microservices..