Data Engineer II, Ring Agent Platforms

Ring

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profile Job Location:

Hawthorne, NV - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

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 users 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 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.

- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience working in or building GenAI enhanced data pipelines

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Hawthorne - 132100.00 - 178800.00 USD annually


Required Experience:

Unclear Seniority

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...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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