Remote Hadoop Engineer | Scalable Big Data & MapReduce

BairesDev

Colombia

Remote

COP 286,451,000 - 445,590,000

Full time

3 days ago

Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Remote work

USD compensation

Home-office setup

Flexible hours

Paid parental leave

Global collaboration

Job summary

BairesDev in Colombia is seeking a Software Engineer specializing in Apache Hadoop to design, develop and optimize large-scale data solutions on Hadoop clusters. You will build robust storage and processing workflows to ensure performance and scalability for enterprise environments.

This role offers 100% remote work, flexible hours, and the opportunity to collaborate with global teams. Strong English communication and 4+ years in data engineering or big data are expected, with a focus on

Qualifications

4+ years of experience in Software Engineering, Data Engineering, or Big Data infrastructure.
Proficiency in managing and developing on Hadoop clusters and HDFS storage.
Experience with MapReduce and YARN processing for large-scale data workloads.
Hands-on experience with Hive and Hadoop ecosystem.

Responsibilities

Design, deploy, and manage production-grade Hadoop clusters with focus on HDFS storage and YARN resource management.
Develop and optimize data processing jobs using MapReduce and Hive for petabyte-scale datasets.
Maintain and scale the Hadoop ecosystem to ensure data integration and availability.
Collaborate with data teams to implement best practices for data partitioning, compression, and cluster performance tuning.
Ensure system reliability and data integrity through monitoring and troubleshooting distributed components.