Principal Data Warehouse Performance Engineer, Cloudera

• 8+ years of industry experience in performance related work ideally on large scale distributed systems
• Understanding of DBMS algorithms and data structure fundamentals
• Understanding of hardware trends and full stack systems performance: CPU, RAM, storage, network, Linux kernel, JVM, distributed systems performance
• Deep understanding of performance measurement methodologies and performance analysis tools and techniques
• Strong design and coding skills (Java/C++/Golang/Python preferred)
• Ability to work in a distributed setting with team members spread across multiple geographies
• Demonstrated ability to work on large cross-functional projects, including strong communication skills and a collaborative mindset, as you will be working with many teams inside and outside of Cloudera
• B.S. or M.S. in Computer Science or equivalent experience

Desirable

• Cloudera is looking for an experienced Principal Engineer to play a key role in driving performance and scale for our data warehouse offerings across multiple cloud providers
• Work with internal development teams and the open source community to proactively drive performance improvements/optimizations across our data warehouse stack
• Work with product managers, developers and the field team to understand performance and scale requirements and customer workload characteristics, and develop benchmarks and related performance analysis tooling based on these requirements
• Analyze performance and scalability characteristics to identify bottlenecks in large-scale distributed systems
• Perform root cause analysis of performance issues identified by internal testing and from customers and suggest corrective actions
• Evaluate performance of competitor systems