Search by job, company or skills

BairesDev

Senior Apache Hadoop Developer

new job description bg glownew job description bg glownew job description bg svg
  • Posted 12 days ago
  • Be among the first 10 applicants
Early Applicant

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.

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!

More Info

Job Type:
Industry:
Function:
Employment Type:

About Company

Job ID: 133169329

Similar Jobs