Spotify is a leading audio streaming service that aims to enhance the music and podcast experience for users. They are seeking a Backend Engineer to work on large-scale data pipelines and develop Java services that will improve personalized recommendations for millions of users.
Responsibilities:
- Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam
- Develop, deploy, and operate Java services that impact millions of users
- Work towards supporting machine learning projects powering the experience that suits each user individually
- Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day
- Deliver scalable, testable, maintainable, and high-quality code
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability
Requirements:
- Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam
- Develop, deploy, and operate Java services that impact millions of users
- Work towards supporting machine learning projects powering the experience that suits each user individually
- Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day
- Deliver scalable, testable, maintainable, and high-quality code
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability
- You are familiar with the concepts of data modeling, data access, and data storage techniques
- You are familiar with distributed data processing frameworks (ex: Beam, Spark)
- You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation
- You value opportunities to work collaboratively