Data Engineer III – Prime Video, Amazon

Are you passionate about shaping the future of entertainment?

Do you want to define the next generation of how and what Amazon customers are watching? Are you excited by the challenge of building, owning, and operating large-scale systems to solve complex problems in the digital media supply chain? If you want to work with a team of highly skilled software engineers, this Data Engineer position with Amazon Prime Video could be the perfect fit for you.
Thrive in a Fast-Paced Environment
This role is ideal for someone who enjoys owning massive data pipelines, building highly available stacks and services, and has strong problem-solving skills. You'll need a solid foundation in computer science, experience with backend design patterns and APIs, and a passion for operational excellence.
Make an Impact on Millions of Viewers
You'll join a team that collaborates with products, marketing, finance, analytics, machine learning, and technology teams to deliver real-time data processing solutions. These solutions empower Amazon leadership, marketers, and product managers with timely, flexible, and structured access to customer insights. The team is responsible for building end-to-end pipelines and systems using the latest AWS technologies and software development principles. As a Data Engineer, you'll play a key role in shaping the future of Prime Video's measurement and attribution systems.

Key job responsibilities
* Lead the architecture, design, and development of Prime Video's data, metrics, and reporting platform.
* Architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities.
* Partner with business leaders to drive strategy and prioritize projects and feature sets.
* Write and review use cases and drive the development process from design to release.
* Provide technical leadership and mentoring for a team of software engineers.
* Own design and execution of end-to-end projects.
* Establish key relationships with Amazon business units.
* Implement data quality checks and monitoring procedures.
* Automate data processing tasks.
* Collaborate with cross-functional teams to understand data needs and design solutions.
* Document data pipelines and processes.
* Stay up-to-date with the latest trends and technologies in data engineering.