Senior Data Engineer, Ring Data Science and Engineering

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Description

Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what's important?

Key job responsibilities

The perfect candidate will have strong big data engineering and architecture skills, a proven track record of leading and scaling data teams, strong operational skills to drive efficiency and speed, strong project leadership, ability to deep dive into problems and help solve the problems keeping customer requirements in mind, and a strong vision for how data engineering can proactively create positive impact. You should have strong knowledge and understanding of how to optimize teams, process and performance. As a leader, you are thoughtful, aspirational, and adept at motivating teams through ambiguous situation to successful outcomes.

A day in the life

You will ideate and deliver on needle moving initiatives for our customers - delivering data platform and products and driving those directions our broader org will take. Guide your team, giving the other developers room to grow while still making sure that the right guardrails are in place to help them. The role will manage the development of services that support Ring's data infrastructure and data assets. You will build innovative products for our customers to make use of our managed data infrastructure platform as a service for data exchange, orchestration, pipelines, storage, cataloguing, access control, etc.

Basic Qualifications

• 5+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience mentoring team members on best practices
• 1+ years experience working with distributed computing and associated technologies such as Spark, EMR, etc.
  
  

Preferred Qualifications

• Experience operating large data warehouses
• Experience or familiarity with AWS data and analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, Kinesis, ElasticSearch
  
  

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