Sr. Software Engineer, Hive

Employer Industry: Data Engineering and Analytics

Why consider this job opportunity

Opportunity to work with cutting-edge technologies like Trino, Spark, and advanced AI inferencing systems

Flexible work-from-home policy to support work-life balance

Access to generous paid time off (PTO) and paid volunteer time

Comprehensive benefits and competitive compensation packages

Opportunities for continued career development and collaboration with open-source projects

Work on large-scale, distributed systems that influence data solutions for top companies worldwide

What to Expect (Job Responsibilities)

Design and develop features for parallel and distributed query engines to enhance the Cloudera Data Platform (CDP)

Drive innovation in Hive and build additional components to support its ecosystem

Optimize SQL queries for performance and scalability

Write design documentation and improve code quality through testing and automation

Understand customer workloads to provide effective technical solutions

What is Required (Qualifications)

Bachelor’s or Master’s degree in Computer Science or equivalent, with 6 years of experience

Experience with query optimization tools, such as Apache Calcite

Strong programming skills with a focus on data structures and algorithms; Java experience is desired

Good understanding of database internals, query processing, and SQL query optimization

Strong oral and written communication skills, with the ability to work on cross-functional projects

How to Stand Out (Preferred Qualifications)

Experience contributing to open-source Apache projects like Hive, Impala, or Calcite

Familiarity with the Hadoop ecosystem and file formats like Parquet and ORC

Experience with public cloud infrastructures such as Microsoft Azure, AWS, and Google Cloud Platform

Recognized contributions to open-source projects

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