At BairesDev we ve been leading the way in technology projects for over 15 years We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley Our diverse 4 000 team composed of the world s Top 1 of tech talent works on roles that drive significant impact worldwide When you apply for this position you re taking the first step in a process that goes beyond the ordinary We aim to align your passions and skills with our vacancies setting you on a path to exceptional career development and success Staff Apache Hadoop Engineer at BairesDev We are seeking a Staff Apache Hadoop Engineer with deep expertise in big data ecosystem HDFS architecture MapReduce paradigm and YARN resource management The technology stack includes popular open source big data technologies - Apache Hadoop and related ecosystem tools Thus there is ample scope for collaboration and contribution to open source The ideal candidate will lead the design and optimization of large-scale distributed data processing systems drive architectural decisions and collaborate with engineering teams while delivering cutting-edge solutions for complex big data challenges What You ll Do Contribute actively to Apache Hadoop and related open source projects as a core contributor spending 20 of your time on upstream development Design and optimize big data ecosystem architectures for large-scale data processing Architect advanced HDFS components to ensure highly reliable distributed data storage Lead MapReduce paradigm implementation for complex scalable data processing workflows Drive YARN resource management optimization for maximum cluster efficiency and performance Collaborate with engineering teams on technical solutions and system integration What we are looking for 10 years of experience in software development Strong expertise in big data ecosystem and distributed data processing systems Deep understanding of advanced HDFS architecture and distributed file system concepts Proficiency in MapReduce paradigm and complex parallel processing techniques Proven experience with YARN resource management and large-scale cluster orchestration Core contributions to Apache open source projects Hadoop HDFS Spark or similar Advanced level of English How we make your work and your life easier Excellent compensation in USD or your local currency if preferred Paid parental leave vacation national holidays Creative and multicultural work environment Collaborate and learn from the global Top 1 of talent in each area Supportive environment with mentorship promotions skill development and diverse growth opportunities Join a global team where your unique talents can truly thrive and make a significant impact Apply now