Python Data Engineer with SDVI

Python Data Engineer with SDVI

Posted 3 days ago by 1753867849

Negotiable
Outside
Remote
USA

Summary: The Python Data Engineer with SDVI role focuses on developing scalable and maintainable Python code for back-end components and automation scripts, with a strong emphasis on media supply chain workflows. The position requires expertise in cloud platforms, particularly AWS, and proficiency in API and data integration. Candidates should also have experience with testing and quality assurance processes. This is a contract position based in New York, NY, with remote work options available.

Key Responsibilities:

  • Writing clean, scalable, and maintainable Python code for back-end components, automation scripts, and applications.
  • Utilizing media supply chain workflows and orchestration tools like SDVI Rally.
  • Designing solutions for cloud-native environments, particularly on AWS.
  • Working with REST APIs, XML, JSON, and integrating various services and data sources.
  • Designing and implementing test automation infrastructure and manually testing applications as needed.

Key Skills:

  • Proficiency in Python programming.
  • Experience with SDVI Rally and media supply chain workflows.
  • Strong knowledge of AWS and cloud computing.
  • Expertise in REST APIs, XML, and JSON.
  • Understanding of testing and quality assurance processes.

Salary (Rate): undetermined

City: New York

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
Job Title: Python Data Engineer with SDVI
Location: New York, NY - Remote
Job Type: Contract W2
Python Development:
Writing clean, scalable, and maintainable Python code for back-end components, automation scripts, and applications.
Media Workflow Expertise:
Experience with media supply chain workflows and orchestration tools like **SDVI** Rally is often a key differentiator.
Cloud Platforms:
Proficiency with cloud platforms, especially AWS, and designing solutions for cloud-native environments.
API and Data Integration:
Expertise in working with REST APIs, XML, JSON, and integrating various services and data sources.
Testing and Quality Assurance:
While not always the primary focus, some roles may involve designing and implementing test automation infrastructure and manually testing applications.
AWS,Python,SDVI Rally,cloud computing,cloud providers,data science,information technology,mathematics,science & research,statistics,technology