Maintain and enhance Spotify’s reporting pipelines, ensuring they remain business-critical
Build large-scale batch and real-time data pipelines to efficiently collect, process, and store reporting-related data
Make enhancements to data models and ETL code to improve pipeline efficiency and data quality
Design, develop, and maintain high-performance backend services and APIs to power Spotify’s advertising platform
Work closely with stakeholders to understand and translate business requirements into technical solutions
Write scalable, testable, maintainable, and high-quality code
Collaborate with engineers, product managers, and other stakeholders, embracing learning and leadership opportunities daily
Monitor daily execution, diagnose issues, and ensure SLAs are met by maintaining and fixing business-critical pipelines

Requirements

Experience in data engineering with high-volume, heterogeneous data, ideally within distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS, or Azure
Familiarity with data processing frameworks like Scio, GCP Dataflow, AWS EMR, and Apache Beam
Familiarity with API design, microservice architecture, and frameworks like Spring Boot or gRPC.
Programming skills in Java or Scala, and for analytics and data extraction (SQL, Python, Pandas, R)
Commitment to agile software processes, data-driven development, reliability, and responsible experimentation
Hands-on experience with orchestration tools like Airflow or similar
Experience with database systems, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, DynamoDB).
Excellent problem-solving and communication skills

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringETLAPI designmicroservice architectureJavaScalaSQLPythonPandasR

Soft Skills

problem-solvingcommunicationcollaborationleadershipstakeholder engagementagile processesdata-driven developmentreliabilityresponsible experimentation