Data Engineer, Ads Product – Tech

Job Description: • 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: • Health insurance • Six month paid parental leave • 401(k) retirement plan • Monthly meal allowance • 23 paid days off • 13 paid flexible holidays Apply tot his job