Job ID: 2798184 | Amazon.com Services LLC
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.
Key job responsibilities
This role will be responsible for building and maintaining efficient, scalable, and privacy/security compliant 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.
- Maintain/improve existing data ingestions and ensure they meet evolving standards and corporate mandates.
- Build/improve/maintain frameworks or tools for internal team and external stakeholder usage to manage data.
- Perform code reviews and ensure 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
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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