Position Details
About this role
This role involves developing and improving big data benchmarking frameworks, analyzing performance, and working on distributed data processing systems at AWS EMR.
Key Responsibilities
- Build benchmarking frameworks
- Analyze performance anomalies
- Lead data processing projects
- Collaborate with data teams
- Enhance system extensibility
Technical Overview
The environment includes big data frameworks like Spark, Hive, Presto, Hadoop, and HBase, with a focus on performance analysis, ML integration, and scalable system design.
Ideal Candidate
The ideal candidate is a senior data engineer with at least 5 years of experience in big data processing, proficient in frameworks like Spark, Hive, Presto, Hadoop, and HBase. They possess strong leadership skills, a focus on customer needs, and experience delivering scalable data solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience in data engineering, Lack of experience with distributed systems or big data frameworks, No familiarity with ML models or performance analysis, Inability to work in Redmond, WA
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