Lead Data Engineer, Amazon Music DISCO Job at Amazon Music in Sunnyvale

Overview

Join to apply for the Lead Data Engineer, Amazon Music DISCO role at Amazon Music

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Learn more at https://www.amazon.com/music.

Embark on an exhilarating journey with the DISCO team at Amazon Music!

Responsibilities

• As a Sr. Data Engineer, you will develop new data models using engineering patterns that leverage new cloud architectures, genAI and will extend or migrate existing data pipelines to the architectures as needed.
• This role will also enable the team to build genAI based applications that will improve the efficiency of our BI teams and Product Managers.
• Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
• You will also be responsible to make sure our data store is secure and compliant and will work with Privacy and compliance teams.

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

Preferred Qualifications

• Experience with big data technologies such as Hadoop, Hive, Spark, EMR
• Experience operating large data warehouses

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

Pursuant to the Los Angeles County Fair Chance Ordinance and the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. 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. Depending 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.