Backend Engineer II - Ads Data Platform

January 11

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Logo of Spotify

Spotify

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

5001 - 10000 employees

Founded 2008

πŸ“± Media

πŸ‘₯ B2C

πŸ›οΈ eCommerce

πŸ“‹ Description

β€’ dedicated to creating scalable, reliable data and backend systems for advertising ecosystem β€’ enable seamless delivery of personalized, impactful ads while maintaining exceptional user experience β€’ play a key role in shaping and realizing vision to enhance advertising experience for clients β€’ seeking engineers who are passionate about designing, developing, and maintaining robust systems β€’ work closely with cross-functional teams to build data services and APIs for advertising platform β€’ assist product teams in driving high performance, reliability, and scalability across systems β€’ team culture emphasizes creative problem-solving, rapid iteration, execution, and collaboration

🎯 Requirements

β€’ proven experience in backend and data engineering β€’ strong programming skills in Java, Python, Scala, or Kotlin β€’ hands-on experience with cloud platforms like GCP, AWS, or Azure β€’ familiar with API design, microservice architecture, and frameworks like Spring Boot or gRPC β€’ knowledge of data processing frameworks such as Apache Beam, Scio, or Spark β€’ experience with database systems, both relational (e.g., PostgreSQL, MySQL) and non-relational (e.g., Cassandra, DynamoDB) β€’ proficiency with orchestration tools like Airflow and streaming tools like Kafka or Pub/Sub β€’ commitment to agile software development practices, CI/CD, and test-driven development β€’ excellent problem-solving skills with a passion for optimizing systems and data pipelines

πŸ–οΈ Benefits

β€’ health insurance β€’ six month paid parental leave β€’ 401(k) retirement plan β€’ monthly meal allowance β€’ 23 paid days off β€’ 13 paid flexible holidays

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