Product Support Engineer (Hadoop)

Acceldata • Campbell, CA

14h • $80,000 - $100,000

About The Position

As a product support engineer, you are expected to take ownership of complex customer environments, mentor junior team members, and drive the reliability of Hadoop and Spark-based data processing systems. You will 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

• Experience: 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,
• Linux: Advanced skills in configuring, tuning, and troubleshooting Red Hat and Debian-based distributions.

Nice To Haves

• Good to have proficiency in Python, Bash, or Scala for system automation and performance monitoring.

Responsibilities

• Strong desire to tackle hard technical problems in Hadoop and proven ability to do so with little or no direct daily supervision.
• Troubleshooting: Provide tier-2/3 support for data or performance issues in Hadoop clusters across the entire technical stack.
• Debugging: Conduct deep-dive debugging and optimisation of Hadoop clusters, including NiFi, Impala, and Spark jobs.
• Migration: Lead product support during ODP Hadoop migrations, upgrades, ensuring post-migration stability, addressing upgrades and evolving technical hurdles.
• Optimisation: Design and optimise distributed Hadoop-based applications to ensure low-latency, high-throughput performance for big data workloads.
• We are looking for someone adaptable enough to bridge the gap between EST and PST hours. This position involves weekend coverage, so the ability to pivot working hours is essential.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 101-250 employees