Amazon.com Services LLC
Data Science, Data Engineering, alexa and amazon devices
DataEngineerII,RingAgentPlatforms
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, Ring Agent Platforms at Amazon.com Services LLC. Skills: Data engineering, Data pipelines, GenAI. Build and maintain data pipelines. Support business stakeholders”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Experience in modern scripting language, Experience building GenAI enhanced data pipelines
What You'll Do.
Build and maintain data pipelines
Support business stakeholders
Adapt to new technologies
Incorporate new patterns
Incorporate new technologies
Build new data ingestions
Maintain data ingestions
Improve data ingestions
Build frameworks for usage
Build tools for usage
Build GenAI Agents for usage
Improve frameworks for usage
Improve tools for usage
Improve GenAI Agents for usage
Ensure best practices
How You'll Work.
Team & Collaboration
Work with software engineers; Work with scientists; Work with business stakeholders; Work with internal team; Work with external stakeholders; Support teams
Communication Scope
Communicate effectively; Communicate respectfully
Full Job Description
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, scientist 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 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 be able to learn and adapt quickly 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 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 corpor
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