Data Engineer
Amazon
Santa Monica, CAThis was removed by the employer on 12/10/2020 10:33:00 AM PST
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Full Time Job
Amazon Music
Imagine being a part of an agile team where your ideas have the potential to reach millions. Picture working on cutting-edge consumer-facing products, where every single team member is a critical in the decision-making process. Envision being able to leverage the resources of a Fortune-500 company within the atmosphere of a start-up. Welcome to Amazon Music, where ideas are born and come to life as Amazon Music Unlimited, Prime Music, and so much more.
Everyone on our team has a meaningful impact on product features, new directions in music streaming, and customer engagement. We are looking for new team members across a variety of job functions including software engineering/development, marketing, design, ops and more. Come join us as we make history by launching exciting new projects in the coming year.
Our team is focused on building a personalized, curated, and seamless music experience. We want to help our customers discover up-and-coming artists, while also having access to their favorite established musicians. We build systems that are distributed on a large scale, spanning our music apps, web player, and -forward audio engagement on and Amazon Echo , powered by Alexa to support our customer base. Amazon Music offerings are available in countries around the world, and our applications support our mission of delivering music to customers in new and exciting ways that enhance their day-to-day lives.
Come innovate with the Amazon Music team!
Qualifications
• 3 years of experience as a Data Engineer or in a similar role
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience in SQL
• Bachelor's degree in Data Science, Applied Science, Computer Science, Computer Engineering or related technical discipline
• 3 years of experience as a data/software developer/scientist or related technical job
• Experience with SQL and Spark based data pipelines
• Experience with traditional and cloud data modeling techniques
• A passion for improving customer experience
• Excellent verbal and written communication skills and technical writing skills