Senior Data Engineer, Ring Data Science and Engineering

Amazon • Hawthorne, CA • 11h ago

Description

Ring produces vast amount of data, and Ring's Data Science and Engineering Org is seeking a data engineer to help us usher in a new generation of data management where data can be a first class citizen in our operations. If you love the challenges that come with big data then this role is for you. We collect billions of events a day, manage petabyte scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL based ETL, and Java services.

Key job responsibilities

The perfect candidate will have strong big data engineering and architecture skills, 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 and access control.

Basic Qualifications

Experience with data modeling, warehousing and building ETL pipelines

7+ years of data engineering experience

Knowledge of distributed systems as it pertains to data storage and computing

Expert-level skills in writing and optimizing SQL

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Experience operating large data warehouses

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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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