SummaryPosted: Feb 25, 2025Role Number:200592744Hundreds of millions of users. Billions of Shazams. Countless moments of discovery. Shazam brings a unique brand of magic to millions every day. It’s our people - their imagination, skills and ideas - that shape our future, and help us make the impossible come to life. At Shazam, we are fortunate to have some of the most exciting data in the music world and beyond. As a Software, Data Engineer (Music Solutions), you will play a pivotal role in solving complex problems related to music grouping and categorisation. You will be working with large datasets, leveraging your expertise in DevOps, Data Engineering, and possibly AI/ML to build robust data-driven solutions. Your work will ensure that our systems are scalable, reliable, and efficient, supporting millions of users worldwide.DescriptionDescriptionThe role is based in London while involving close collaboration with cross-functional teams in various locations to integrate data solutions. You will work across a wide array of systems & technologies that include both batch & real-time pipelines. You will design, develop, and maintain scalable data pipelines and infrastructure to process large volumes of music-related data. You will implement map-reduce, clustering and classification algorithms to improve music grouping and categorisation. You will monitor and troubleshoot pipeline performance, ensuring high availability and correctness of results You will utilise Hadoop, Spark, BigQuery and other big data technologies to manage and analyse large datasets. Employ cloud technologies, particularly GCP, to optimise data processing and storageMinimum QualificationsMinimum QualificationsContinuous learning and improvement mindset, willing to push yourself outside of your comfort zoneExcellent problem-solving skills, attention to detail, and a collaborative mindsetExperience with DevOps practices and tools such as CI/CD, Docker, and KubernetesIn-depth knowledge of distributed computing including Hadoop and Spark.Strong programming skills in languages such as Python, Java, or Scala.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsGood knowledge about the music domain, and processing audio signalsInterest or experience in clustering large datasets and working with graph databasesNot afraid to work with multiple programming languages such as C++, and JVM based languages.Interest or experience in managing GCP infrastructure via Terraform, plus working with other cloud technologiesFamiliarity with AI/ML methodologies and frameworks like TensorFlow, PyTorch, or Scikit-learn, etc.Experience in orchestrating jobs using tools such as Airflow, LuigiEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore