Python Data Engineer with SDVI

Job ID: Reference Number:

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. Problem-Solving and Debugging: Identifying and resolving complex technical issues within existing systems. Collaboration and Communication: Working effectively with cross-functional teams and stakeholders to define requirements and deliver solutions. 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