Staff Apache Hadoop Engineer

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 BairesDevWe 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.- Innovative 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!