Senior Apache Hadoop Developer

TL;DR

Senior Apache Hadoop Developer (Backend Dev): Develop and optimize large-scale distributed data processing systems using Apache Hadoop and related big data technologies with an accent on HDFS architecture, MapReduce paradigm, and YARN resource management. Focus on designing scalable data workflows, contributing to open source projects, and enhancing cluster efficiency.

Location: Remote (Global)

Company

hirify.global is a leading technology company with over 15 years of experience delivering cutting-edge solutions to major clients including Google, employing a diverse team of top global tech talent.

What you will do

• Contribute actively to Apache Hadoop and related open source projects (20% of time).
• Develop and optimize big data ecosystem solutions for large-scale data processing.
• Implement and maintain HDFS architecture components for reliable distributed storage.
• Build MapReduce applications for scalable data workflows.
• Design and optimize YARN resource management for cluster efficiency.
• Collaborate with engineering teams on system integration and deployment.

Requirements

• Advanced English proficiency required.
• 10+ years of software development experience.
• Strong expertise in big data ecosystem and distributed data processing.
• Deep understanding of HDFS architecture and distributed file systems.
• Proficiency in MapReduce and parallel processing techniques.
• Experience with YARN resource management and cluster orchestration.
• Core contributions to Apache open source projects (Hadoop, HDFS, Spark, or similar).

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 1% tech talent.
• Supportive environment with mentorship, promotions, and skill development.