Data Engineer II, Ring Data Platform

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 Engineer who is passionate about building products and platform capabilities to support our business analysts, data scientists and other product and tech teams at Ring.

An ideal individual is someone who has deep data engineering skills around ETL, data modeling, database architecture and big data solutions. You should have strong business judgement, excellent written and verbal communication skills.

Key job responsibilities

- Building/Improving/Maintaining frameworks or tools for internal team and external stakeholder usage to manage data.
- 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.
- Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.

Basic Qualifications

- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Preferred Qualifications

- 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)

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