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Data Engineer - Music
Company | Spotify |
Address | United States |
Employment type | FULL_TIME |
Salary | |
Category | Musicians |
Expires | 2023-05-19 |
Posted at | 1 year ago |
Spotify is reimagining the creator and consumer experience, partnering with artists, labels and publishers to help them better understand and reach their fans. Join us in Marketplace, the center of Spotify’s mission to give artists the opportunity to find and increase their fan bases on the platform. Along with developing Spotify-native promotional tools, we're working with our broader organization to create sustainable commercial models to help artists thrive.
- Work with Product to conceptualize and implement new ways of understanding the interplay between user happiness, track performance, and artist needs.
- Collaborate with other engineers, product managers, specialists, and stakeholders, taking learning and leadership opportunities that will arise every single day.
- Leverage the most efficient practices in continuous integration and delivery.
- Help us prioritize and address technical debt to ensure our systems are built for speed and reliability and have the ability to scale to meet changing needs.
- Work in agile teams to continuously experiment, iterate and deliver on new product objectives and enhance tooling for squads within our product area.
- Help drive optimization, testing, and tooling to improve data quality.
- Build large-scale batch and real-time data pipelines with data processing frameworks like Scio, Storm, Spark and the Google Cloud Platform.
- Collaborate and advise on backend services and Pubsubs to expose data for consumption by other teams.
- You have worked with high volume heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, or Cassandra.
- You understand the value of collaboration and coordination across teams.
- You advocate for agile software processes, data-driven development, reliability, blameless incident response, and responsible experimentation.
- You have professional experience working in a product-driven environment.
- You know how to write distributed data pipelines in Java or Scala.
- You are committed to making your team the best version of itself through mentorship and constructive accountability.
- You are knowledgeable about data modeling, data access, and data storage techniques.
- 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
- Working hours? We operate within the Eastern Standard time zone for collaboration
- Where in the world? For this role, it can be within the Americas region in which we have a work location
- We are a distributed workforce enabling our band members to find a work mode best for them!
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