Ring, an Amazon company, is seeking a Data Engineer to join their Data Science and Engineering team. This role is crucial in managing Ring's growing analytics and operational needs through centralized data collection and standardized data models. The position sits within a dynamic organization split into Data Operations, Data Warehouse, and Data Science and Analytics divisions.
The ideal candidate will work with cutting-edge technologies including Redshift, AWS infrastructure, and various data pipeline tools. You'll be responsible for maintaining and optimizing data workflows, ensuring system reliability, and contributing to Ring's data-driven decision-making processes. The role offers exposure to various aspects of data engineering, from ETL pipeline management to infrastructure monitoring and troubleshooting.
As part of Ring's mission to accelerate innovation and promote data-driven decision making, you'll work on products and services that streamline data collection, deliver standardized metrics, and enable privacy by design for Ring's products. The position offers the opportunity to work with big data technologies and contribute to a team that supports multiple brands including Blink, Key, and Sidewalk.
The role combines technical expertise with business impact, requiring both strong data engineering skills and the ability to connect insights to business needs. You'll be part of a team that values high standards in operations and emphasizes privacy and security in all aspects of their work. This is an excellent opportunity for a data professional looking to make a significant impact in the smart home security space while working with enterprise-scale data systems and modern cloud infrastructure.