Principal Apache Hive Engineer

TL;DR

Principal Apache Hive Engineer: Developing and optimizing large-scale data warehouse and batch analytics systems with an accent on Apache Hive, performance optimization, and scalable architecture. Focus on contributing to open source projects, enhancing HiveQL query optimization, and integrating with Spark, Hadoop, and Iceberg.

Location: Remote

Company

hirify.global is a global technology company delivering cutting-edge solutions with a diverse team of the world's Top 1% tech talent.

What you will do

• Contribute as a core developer to Apache Hive and related open source projects.
• Develop and optimize data warehouse solutions for large-scale analytical workloads.
• Enhance HiveQL query optimization and metastore architecture for improved performance.
• Improve Hive integration with HDFS, Spark, and table formats like Iceberg.
• Collaborate with engineering teams on system integration and deployment.

Requirements

• Advanced English proficiency required.
• 10+ years of software development experience.
• Strong expertise in data warehousing and large-scale batch processing systems.
• Deep understanding of Apache Hive architecture and Hadoop ecosystem.
• Proficiency in Java and performance tuning of distributed systems.
• Core contributions to Apache open source projects.

Culture & Benefits

• Excellent compensation in USD or local currency.
• Paid parental leave, vacation, and national holidays.
• Innovative and multicultural work environment.
• Collaboration with global top-tier tech talent.
• Supportive environment with mentorship, promotions, and skill development.