Data Engineer, Amazon

• Ring is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team
• The ideal candidate will utilize Generative AI tools to streamline data pipeline development, automate documentation generation, enhance code quality through AI-assisted reviews, and accelerate problem-solving in complex data scenarios
• Experience with AI-powered development tools, automated testing frameworks, and intelligent data analysis platforms is highly valued
• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience with Gen AI enhanced development pipelines

Desirable

• This role will work closely with software development engineers, scientists, and business stakeholders across various verticals
• You will design, evangelize, and implement efficient solutions that help us provide a great customer experience at a greater velocity
• 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 pipelines, machine learning, optimization models, statistical models, and simulations
• This role will be responsible for building and maintaining efficient, scalable, and privacy/security complaint data pipelines to support our business stakeholders
• These pipelines will be built using both tools available in Native AWS as well as Amazon internal tools and technologies
• This role will need to be able to work closely with stakeholders to understand their needs and work alongside them to ensure data being ingested meets the business user's needs and will well modeled and organized to promote scalable usage and good data hygiene
• This role is expected to leverage new technologies like Gen AI to and adapt to business needs, building and improving frameworks and processes with these new tools to accelerate development and improve data quality
• This Role will:
• Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc
• Build 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 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
• Building and updating AI Agents to streamline Data Engineering Tasks
• The Ring Data Warehouse team manages the centralized data repository for Ring
• 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