Hadoop Product Support Engineer

Acceldata

Product Support Engineer at Acceldata responsible for enhancing Hadoop and Spark applications. Collaborating with teams to ensure high performance and reliability in data processing systems.

Posted 4/17/2026full-timeRemote • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

HadoopHDFSKafkaPythonScalaSparkYarn

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Equitable workplace that welcomes individuals from all walks of life.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

HadoopSparkHDFSYARNHiveImpalaKafkaNiFiAmbariCloudera Manager

Soft Skills

ownershipmentoringcollaborationproblem-solvingreliabilityoptimisation