Senior Apache Hadoop Developer

hace 1 semana

Madrid, Madrid, España BairesDev A tiempo completo

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.

Senior Apache Hadoop Developer at BairesDev

We are seeking a Senior 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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