Acceldata

Hadoop Product Support Engineer

Acceldata

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

HadoopHDFSKafkaPythonScalaSparkYarn

About the role

  • Take ownership of complex customer environments
  • Mentor junior team members
  • Drive the reliability of Hadoop and Spark-based data processing systems
  • Collaborate closely with customer engineering teams to deliver high-throughput Hadoop and Spark applications
  • Solve complex data challenges during migration and upgrades
  • Ensure reliability and optimise post-migration system performance

Requirements

  • 5+ years of hands-on experience working with hadoop environments.
  • Technical proficiency in core hadoop services (HDFS, YARN, and Hive/Impala) and good working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager internals.
  • Extensive experience in troubleshooting and debugging hadoop components.
  • Advanced skills in configuring, tuning, and troubleshooting Red Hat and Debian-based distributions.
  • Good to have proficiency in Python, Bash, or Scala for system automation and performance monitoring.
Benefits
  • Equitable workplace that welcomes individuals from all walks of life.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
HadoopSparkHDFSYARNHiveImpalaKafkaNiFiAmbariCloudera Manager
Soft Skills
ownershipmentoringcollaborationproblem-solvingreliabilityoptimisation