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Job Description & How to Apply Below
Why consider this job opportunity Opportunity for career advancement and growth within the organization
Flexible work‑from‑home policy
Generous Paid Time Off (PTO) policy and Unplugged Days to support work‑life balance
Comprehensive benefits and competitive compensation packages
Access to continued career development and mental & physical wellness programs
Paid volunteer time to encourage community involvement
What to Expect (Job Responsibilities) Work on large‑scale, distributed systems to enhance the Hive ecosystem and drive innovation
Design and develop features for parallel and distributed query engines within Cloudera Data Platform (CDP)
Focus on query optimization, performance, and scalability of SQL queries
Write design documentation for key features and capabilities
Improve code quality through writing tests, automation, and code reviews
What is Required (Qualifications) Bachelor’s or Master’s degree in Computer Science or equivalent, with 6 years of experience
Experience with query optimization using tools like Apache Calcite
Strong understanding of database internals, query processing, and SQL query optimization
Proficiency in Java programming and strong data structures and algorithms skills
Excellent oral and written communication skills
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, Amazon Web Services, and Google Cloud Platform
Recognized contributions to open-source projects
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