Software Engineer building and maintaining data processing technology for Spotify. Collaborating with teams to empower data engineers and support data processing needs across the company.
Responsibilities
Build large-scale batch and real-time data processing tools on Google Cloud Platform, aiming to improve developer experience and standardize workflows with the goal to eventually move to a monorepo for data.
Collaborate with product owners, engineers and other squads to build features and drive improvements in the data processing ecosystem.
Expand the data processing product and technology offering for Spotify to meet the dynamic and ever changing needs of our customers.
Enable the data practitioner community by improving and evolving our data engineering ecosystem at Spotify through support, best-practices and standards.
Requirements
You have 2+ years of professional data engineering experience.
You have strong coding skills in a modern programming language and a solid understanding of systems design, data structures and algorithms.
You are passionate about developer experience and building products that help users efficiently solve their use cases
You know how to work with high-volume, heterogeneous data, preferably with distributed systems in the cloud.
You have experience with Python at least one JVM-based data processing framework such as Spark, Flink, Dataflow, Storm, etc.
You employ sound engineering practices such as continuous delivery, defensive programming and automated testing and care about shipping high-quality code.
You are comfortable with change and love working in an environment where you experiment, iterate quickly and take ownership of projects from ideation to production.
Bachelor’s degree or higher in Computer Science or related fields is a plus.
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