Hadoop Product Support Engineer
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Job Description
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.
Responsibilities:
- 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.
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