Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will work closely with software development engineers, scientists, and business stakeholders across various verticals. You will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience.
You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations. This role will be expected to utilize GenAI to build reliable, scalable data pipelines, which produce data optimized for our customers, who will also be utilizing AI Agent pipelines.
Key job responsibilities:
• Building and maintaining efficient, scalable, and privacy/security compliant data pipelines to support our business stakeholders • Utilizing both tools available in Native AWS as well as Amazon internal tools and technologies • Working closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business users needs and is well-modeled and organized to promote scalable usage and good data hygiene • Learning and adapting quickly to new technologies like GenAI tooling and business needs, building and improving frameworks and processes, incorporating new patterns and technologies where appropriate
A day in the life:
• Collect and discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc. • Building new data ingestions using a combination of Native AWS services and/or internal Amazon tools • Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates • Building/Improving/Maintaining frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data • Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams
About the team:
Ring Agent Platforms manages the centralized data repository for Ring and maintains GenAI Agent Platform. We bring in and publish data from numerous internal and external sources, which are used by various stakeholders such as Ring Product engineering, Finance, Supply Chain, Marketing, Customer Support, and Sales information. We build and maintain a data platform for teams to onboard and build GenAI Agents and interact with data we collect and curate about the Ring Business.