Acceldata

Acceldata

Acceldata provides Enterprise Data Observability solutions to maximize ROI on data investments, ensuring reliability, eliminating blind spots, and reducing spend. Their platform optimizes AI and analytics workloads for leading companies, decreasing cos...

IT Services
51-250
Founded 2018
$106M raised

Description

  • Take ownership of complex customer Hadoop environments and mentor junior team members.
  • Provide tier-2/3 support for data and performance issues across Hadoop clusters and the full technical stack.
  • Perform deep-dive debugging and optimization of Hadoop clusters, including NiFi, Impala, and Spark jobs.
  • Lead product support for ODP Hadoop migrations and upgrades and ensure post-migration stability.
  • Collaborate closely with customer engineering teams to deliver high-throughput Hadoop and Spark applications.
  • Solve complex data challenges during migration, upgrades, and evolving technical issues.
  • Design and optimize distributed Hadoop-based applications for low-latency, high-throughput performance.
  • Support operations in a 24/7 environment and adjust working hours as needed.

Requirements

  • 5+ years of hands-on experience working in Hadoop environments.
  • Strong technical proficiency in HDFS, YARN, and Hive/Impala.
  • Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager internals.
  • Extensive experience troubleshooting and debugging Hadoop components.
  • Advanced Linux skills, including configuring, tuning, and troubleshooting Red Hat and Debian-based distributions.
  • Good to have proficiency in Python, Bash, or Scala for automation and performance monitoring.
  • Ability to work independently with little or no direct daily supervision.
  • Comfortable supporting operations in a 24/7 environment and adjusting working hours accordingly.

Interested in this position?

Apply directly on the company website

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