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.
Ring’s Data Science and Engineering Team is looking for an experienced Data Engineering Manager who is passionate about building products and platform capabilities to support our business analysts, data scientists and other product and tech teams at Ring.

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
As a Data Engineering Manager at Ring, you will be responsible for leading a team of engineers supporting data management services used by Ring Customers and Ring team members. The role will manage the development of services that support Ring’s data infrastructure and data assets. You will work backwards from the Customer needs to build efficient data model that delivers critical KPIs and Metrics having leadership visibility. This position involves team management, design, architecture and operation of cloud systems.

BASIC QUALIFICATIONS

– 2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
– 2+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
– 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
– 5+ years of data engineering experience
– Experience managing a data or BI team
– Experience communicating to senior management and customers verbally and in writing
– Experience leading and influencing the data or BI strategy of your team or organization
– Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

PREFERRED QUALIFICATIONS

– Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
– Experience with AWS Tools and Technologies (Redshift, S3, EC2)