Backend Engineer building analytics tools for internal and music industry use at Spotify. Developing and maintaining data infrastructure and ensuring quality service delivery.
Responsibilities
Build, operate, and evolve data analytics platform that includes backend services as well as OLAP data store (Druid) for teams building analytics across Spotify.
Build internal tooling, libraries, and services that streamline integration patterns with our analytics platform.
Advocate for best practices in service design, data modeling, schema evolution, and contract testing to ensure long-term maintainability.
Work in an autonomous, mult-functional environment and collaborate with squads across Spotify to continuously iterate and deliver on new product objectives.
Requirements
3+ years of relevant experience with distributed datastores, and backend services.
Proficient in Java and excited to learn Kubernetes, Terraform.
Understanding of data modeling, dimensional schemas, and analytical query patterns.
Experience building internal developer tools, libraries, or shared services that support large engineering organizations.
Strong sense of ownership of service quality, SLOs, and operational excellence.
Familiar with OLAP databases or analytics warehouses (e.g., Druid, ClickHouse, Pinot, BigQuery, Snowflake). Experience with Druid is a strong plus.
Comfort with metrics-driven development and observability stacks (Prometheus, Grafana, similar).
You are a good communicator and an empathetic, attentive listener with the capability to anticipate the needs of partners.
You are deeply curious, and enjoy exploring both technical and organizational problems and domains.
You are eager to learn new technologies and to expand your area of expertise
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