Apache Hadoop Developer

BairesDev; Bengaluru Urban; On-site; INR 7,943,512 - 10,591,350; Full time

Benefits offered by this job

Excellent compensation

Paid parental leave

Vacation and national holidays

Mentorship and skill development opportunities

Innovative work environment

Job summary

A leading IT services company is seeking an experienced Apache Hadoop Developer in Bangalore Urban. The ideal candidate will have over 10 years of experience and strong expertise in big data technologies. Responsibilities include contributing to open source projects and optimizing big data solutions. The role offers excellent compensation and opportunities for growth in a multicultural environment.

Qualifications

• 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.

Responsibilities

• Contribute actively to Apache Hadoop and related open source projects.
• Develop and optimize big data ecosystem solutions.
• Implement HDFS architecture components.
• Build MapReduce applications for data processing workflows.
• Design and optimize YARN resource management systems.
• Collaborate with engineering teams on system integration.

Skills

Expertise in big data ecosystem

HDFS architecture

MapReduce paradigm

YARN resource management

Advanced level of English

Tools

Apache Hadoop

HDFS

Spark

Job description

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. 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, and 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!

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

IT Services and IT Consulting

Location

Bangalore Urban, Karnataka, India