Analytics Engineer - Core Infrastructure - (Remote Eligible Americas)
Spotify, United States

Experience
1 Year
Salary
0 - 0
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Mar 19, 2021
Last Date
Apr 19, 2021
Location(s)

Job Description

The Platform team crafts the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many fields, we work to make the business work; creating the frameworks, capabilities and tools needed to welcome a billion customers. Join us and help to amplify productivity, quality and innovation across Spotify.
Core Infrastructure’s goal is to provide superior cloud-native infrastructure to Spotify’s engineers. As a member of the insights team, you’ll partner with multi-functional teams of skilled engineers, data scientists, user researchers, designers, and product managers who are all passionate about creating scalable products for our developers and customers. You’ll help us understand and measure the impact of engineering investments and drive product decisions to unlock and maximize Spotify’s developer productivity.What you'll do
  • Work closely with the Core Infrastructure Insights Team to design data structures and pipelines which will empower research and analytic questions.
  • Deliver well-defined, transformed, tested, documented, and code-reviewed data sets and architecture to enable Insights team and our internal data consumers.
  • Drive and improve our processes for maintaining high-quality data and reporting.
  • Work with the engineering team to implement new ETL pipelines, and data infrastructure improvements, as needed.
Who you are
  • You have at least 3 years of proven experience, with a Background in computer science, engineering, physics, statistics, economics, mathematics, or similar quantitative field or comparable experience
  • You are a communicative person who values building strong relationships with colleagues and partners and enjoys mentoring and teaching others
  • Significant experience in designing analytical data layers and in conducting ETL with sophisticated data sets.
  • Knowledgeable in data modeling, data access and data storage techniques.
  • High level of ability in SQL and Python or Scala
  • Experience with GCP tooling and systems is a plus
Where you'll be
  • We are a distributed workforce enabling our band members to find a work mode that is best for them!
  • Where in the world? For this role, it can be within the Americas region in which we have a work location and is within working hours.
  • Working hours? We operate within the Eastern Standard time zone for collaboration and ask that all be located that time zone.
  • Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences.
  • Find more information about our Work From Anywhere options here.
You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 345 million users.

Job Specification

Job Rewards and Benefits

Spotify

Information Technology and Services - San Jose, United States
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