Product Support Engineer - Hadoop
New
United States, flex across both EST and PST time zonesFull-TimeSenior
Salary80,000 - 100,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- HadoopKafkaYarnSparkLinux
Requirements
- 5+ years of hands-on experience working with Hadoop environments.
- Technical proficiency in core Hadoop services including HDFS, YARN, and Hive/Impala.
- 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 Linux distributions.
- Proven ability to tackle complex technical problems with little or no direct daily supervision.
- Willingness to adjust working hours as needed, including weekend coverage.
- Proficiency in Python, Bash, or Scala for system automation and performance monitoring (preferred).
Responsibilities
- Provide tier-2/3 support for data or performance issues in Hadoop clusters across the entire technical stack.
- Conduct deep-dive debugging and optimization of Hadoop clusters, including NiFi, Impala, and Spark jobs.
- Lead product support during ODP Hadoop migrations and upgrades, ensuring post-migration stability, addressing upgrades, and evolving technical hurdles.
- Design and optimize distributed Hadoop-based applications to ensure low-latency, high-throughput performance for big data workloads.
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