Staff Apache Hadoop Engineer - Remote Work

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 :

How we make your work (and your life) easier :

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!

Skills Required

Apache Hadoop, hdfs , Yarn, Parallel Processing, Mapreduce