Technical Data Specialist, Amazon Music Analytics
8 hours ago
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.
We are seeking a skilled Technical Data Specialist to join our Metrics and Data Platform team. The Metrics and Data Platform team plays a critical role in enabling Amazon Music's business decisions and data-driven software development by collecting and providing behavioral and operational metrics to our internal teams.
The ideal candidate will drive engineering and operational projects for the Metrics and Data Platform team, working closely with Product to understand top customer pain points and collaborating with data producers and data consumers to accelerate innovation using data.
Average salary for this role in your location is around $145,000 per year. However, this figure may vary based on experience and other factors.
Job Responsibilities:- Writing high-quality code/SQL and reviewing code/SQL across the team
- Ensuring timely delivery of assigned projects by proactively identifying risks and removing blockers
- Ability to dive deep, diagnose, and root cause bugs, bottlenecks, or inefficiencies
- Collaborating with product managers and software engineers/managers
- Clearly communicating project updates, verbally and in writing, to both technical and non-technical stakeholders and peers
- 1+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
- Strong written and verbal communication skills
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