Job Description

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.

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.

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 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 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.

BASIC QUALIFICATIONS

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

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