š Details:Our client is Xperiās Music Metadata Engineering team responsible for systems that process vast amounts of music-related data. They consume data from many sources, augment it through human and automated processes, and supply it to industry-leading clients such as Pandora, Google, and Microsoft, who use it to enrich their customersā music search and listening experiences. In addition, their metadata enriches the growing market for in-car entertainment experiences through their Connected
š Details:Our client is Xperiās Music Metadata Engineering team responsible for systems that process vast amounts of music-related data. They consume data from many sources, augment it through human and automated processes, and supply it to industry-leading clients such as Pandora, Google, and Microsoft, who use it to enrich their customersā music search and listening experiences. In addition, their metadata enriches the growing market for in-car entertainment experiences through their Connected Car technologies.See https://business.tivo.com/products-solutions/data/music-metadata andhttps://xperi.com/solutions/connected-car/ for more information about what they do.š About the project :The main goal of the project is migrating their system from an on-premise implementation (Windows, SQL Server, C#/.NET) to the Google Cloud Platform (Kubernetes/GKE, BigQuery, Python, Postgres, microservices), and rebuilding it using managed services and cloud-native technologies. The purpose of the Data Engineer role is to contribute to the reimagination and reimplementation of this system in the cloud.š Qualifications :- At least 5 years of experience in Data Engineering;- Strong Python development skills;- Strong SQL skills;- Strong analytical and problem-solving skills;- Cloud development experience;- Docker, Kubernetes, and microservices development;- GCP experience: BigQuery, CloudSQL, GKE;- Experience with observability systems such as DataDog, Grafana, etc.š Responsibilities:- Understand, and in some cases reverse-engineer, the requirements for building the new system in GCP;- Develop new applications utilizing your Python, SQL, cloud, and distributed systems development skills;- Participate effectively as a team member in a distributed team of developers and architects.š Interview steps:- Screening with the recruiter (about 30 minutes);- Test task;- Technical interview with TechLead (about 1 hour).