Data Engineer, Data Processing
July 9
🔄 Hybrid – Manhattan
Description
• Build large-scale batch and real-time data processing tools on Google Cloud Platform. • 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
• 2+ years of professional data engineering experience. • Strong coding skills in a modern programming language and a solid understanding of systems design, data structures and algorithms. • Experience with high-volume, heterogeneous data, preferably with distributed systems in the cloud. • Experience with at least one JVM-based data processing framework such as Spark, Flink, Dataflow, Storm, etc. • Employ sound engineering practices such as continuous delivery, defensive programming and automated testing and care about shipping high-quality code. • 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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