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Staff Apache Hadoop Engineer

Staff Apache Hadoop Engineer

ConfidentialBengaluru / Bangalore, India
18 hours ago
Job description

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.
  • 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!

    Skills Required

    Apache Hadoop, hdfs , Yarn, Mapreduce

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