Software Engineer - Data Engineering
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Role details
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Job description
SOUNDHOUND IS CREATING AND PRODUCTIZING TRANSFORMATIVE TECHNOLOGIES THAT IMPROVE LIFE. JOIN US.
Requirements
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 (eg. Tableau) Please include a cover letter with your application and tell us why youâd enjoy
Benefits & conditions
After amassing a global user community well over 300 million strong, a large portfolio of core technologies and award winning productsâŚweâre just getting started. At SoundHound we value creativity, innovation, hard work, open communication and fast iteration, which allow us to act on valuable feedback from employees and users alike. SoundHoundâs culture is one of impromptu coffee breaks, less-impromptu fitness sessions, group lunches, and weekly happy hours. We offer a competitive salary, SoundHound stock options, unique camaraderie, catered lunches, and the opportunity to call a company thatâs simultaneously changing the way we discover music AND interact with machines, home. Yep, itâs that cool.
About the company
working at SoundHound in particular! RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Machine Learning Engineer / Data Scientist Analytics Engineer
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