Remote Hadoop Engineer - Big Data Platform & Spark

BairesDev

Peru (IL)

On-site

USD 90,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Remote work
Competitive USD salary
Home office setup provided
Flexible hours
Paid parental leave
Multicultural team environment
Mentorship and career growth

Job summary

BairesDev is seeking a Hadoop Engineer to design, build and operate large-scale data platforms using the Hadoop ecosystem and Spark. This is a 100% remote role with opportunities to impact global projects and clients.

Ideal candidates have 4+ years in Data/Software Engineering, strong Java/Scala skills, Linux administration, and hands-on Kafka/NiFi/HBase experience. English fluency is required to collaborate with multinational teams.

Qualifications

  • 4+ years of experience in Data Engineering, Software Engineering, or Big Data.
  • Proven expertise in building and operating big data platforms using the Apache Hadoop ecosystem.
  • Proficiency in Java or Scala and hands-on experience with Spark internals, HBase, and NiFi.
  • Strong background in Linux administration for managing distributed computing environments.
  • Experience with real-time data integration and messaging technologies like Kafka.
  • Advanced proficiency in English.

Responsibilities

  • Build and operate large-scale big data platforms using the full Hadoop ecosystem and Spark internals.
  • Design and optimize high-throughput data integration and messaging solutions using Kafka and NiFi.
  • Oversee the deployment and performance tuning of storage layers including HBase, Ozone, and Impala.
  • Maintain and configure distributed Linux environments to ensure maximum cluster uptime and efficiency.
  • Write high-quality automation and processing code in Java or Scala to streamline data workflows.

Skills

Big Data
Hadoop
Java/Scala
Spark
HBase
NiFi
Linux
Kafka
English

Tools

Kafka
NiFi

Job description

BairesDev is seeking a Hadoop Engineer to design, build and operate large-scale data platforms using the Hadoop ecosystem and Spark. This is a 100% remote role with opportunities to impact global projects and clients.

Ideal candidates have 4+ years in Data/Software Engineering, strong Java/Scala skills, Linux administration, and hands-on Kafka/NiFi/HBase experience. English fluency is required to collaborate with multinational teams.

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