Data Engineer for Large Scale Distributed Systems

5 days ago


Santa Clara, California, United States SoundHound Full time

We are seeking a highly skilled Data Engineer to join our team at SoundHound. As a Data Engineer, you will be responsible for designing and implementing data pipelines that empower real-time insights. You will leverage massive datasets for modeling, recommendations, and reporting solutions, and build user-facing scalable systems powering ad targeting, push, and/or in-app messaging.

About the Role:

At SoundHound, we view our data and engineering team as two of our biggest assets. This role lives at the intersection of the two, and we have a huge amount of data from hundreds of millions of users of our music app, Hound, and Houndify platform. We aspire to leverage this data to make informed decisions to steer product development, marketing, and user engagement.

Responsibilities:

  • Design and implement data pipelines empowering real-time insights.
  • Leverage massive datasets for modeling, recommendations, and reporting solutions.
  • Build user-facing scalable systems powering ad targeting, push, and/or in-app messaging.
  • Drive framework for A/B tests, exposing the results through visualization tools like Tableau.

Requirements:

  • Strong coding skills preferably in Java, Scala, or Python.
  • Hands-on experience with large scale Big Data environments (Spark, Kafka, Hive, Hadoop).
  • Ability to handle multiple competing priorities in a fast-paced environment.
  • BS/MS in Computer Science or equivalent.

Nice to Haves:

  • Familiarity with NoSQL stores including HBase/Cassandra, Redis, Riak, and/or Mongo.
  • Familiarity with data modeling, machine learning, frameworks like Spark MLlib.
  • Experience with analytical tools supporting data analysis and reporting (e.g. Tableau).


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