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At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. We are looking for Performance Engineers to push the boundaries of big data query performance. You will benchmark, profile, and optimize Impala, Hive, and Spark to set industry-leading standards in analytic performance.
Job Responsibility:
Build and run performance benchmarks at scale (1000+ nodes)
Profile query engines using flame graphs, perf, and low-level debugging tools
Optimize execution engines, storage formats, and resource usage
Collaborate with developers to deliver performance-critical improvements
Publish performance best practices and competitive benchmarks
Requirements:
Strong background in systems engineering and distributed systems
C++, Java, or Scala expertise
Deep knowledge of CPU architecture, memory, networking, and I/O
Hands-on experience with query engines (Impala, Hive, Spark)
Nice to have:
Experience benchmarking on cloud (AWS, Azure, GCP)
Publications or contributions to performance engineering