Offers “Amazon”

Expires soon Amazon

Software Development Engineer (Data Engineering)

  • San Francisco (San Francisco County)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

Imagine being a part of a small, agile team where your ideas have the potential to reach millions of users within a matter of months. Picture working on cutting edge consumer-facing products, where every single team member is a critical voice 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 invented, and come to life as Prime Music, and the Digital Music store. Our music offerings are available in multiple countries, and our applications support our mission of delivering music to customers in a way that enhances their day-to-day lives.

Are you interested in working in a team that is changing the way Amazon customers enjoy music? We are looking for smart, motivated Data Engineers who can help take the systems to new heights.

If you love the challenges that come with Big Data then this role is for you. We collect billions of events a day, manage hundreds of terabytes of data on Redshift and S3, and develop data pipelines using SQL based ETL, Java/Scala Spark-EMR, and Java services. And we are just getting started!

You are a talented, enthusiastic, and detail-oriented Software Engineer who wants to take on big challenges in an agile way. Duties include data modeling and information design, ETL on Redshift using SQL, ETL using python/scala/java MR jobs on Spark/EMR and building ML models. With the launch of Amazon Music Unlimited and the continued growth of Amazon Prime Music, providing high quality data to our internal and external customers has a direct impact on the quality of our customer experience.

We focus our development on core platform features our internal customers need and deal in AWS technologies like Redshift, S3, EMR, EC2, DynamoDB, and Kinesis Firehose for the rest. In 2017 this team will help design and deliver the next generation Big Data platform. If these sound like the right kind of challenges for you, please apply today!

Desired profile

BASIC QUALIFICATIONS

· B.S. degree in computer science, mathematics, statistics or a similar quantitative field
· 3+ years of work experience in relevant field (Data Engineer, BI Engineer, DW Engineer, Software Engineer, etc)
· Experience with map reduce SPARK/EMR
· Experience with a DW technology (Oracle, Teradata, Netezza etc) and relevant data modeling best practice
· Experience building ETL and familiarity with design principles
· Excellent SQL skills
· Proficiency in a major programming language (e.g. Java/C) and/or a scripting language (scala/perl/python)
· Strong communication skills and ability to discuss the product with PMs and business owners
· Experience with business requirements gathering for data sourcing

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