Apache Hadoop Developer

2 weeks ago

Bengaluru, Karnataka, India BairesDev Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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.

Apache Hadoop Developer at BairesDev

We are seeking an Apache Hadoop Developer with 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 develop and optimize large-scale distributed data processing systems, contribute to open source projects, and collaborate with engineering teams to deliver innovative big data solutions.

What You'll Do:

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

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 HDFS architecture and distributed file system concepts.
  • Proficiency in MapReduce paradigm and parallel processing techniques.
  • Experience with YARN resource management and 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

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