acceldata
Product Support Engineer - Hadoop
United States · Junior
Sponsorship not specified$80k-$100kDetected 93 days ago
PythonScalaBashLinuxKafkaSparkLLMsExcelHRIS
About the role
- We're seeking someone who can flex across both EST and PST time zones.
- This role also includes weekend coverage, so a willingness to adjust working hours as needed is important.
Responsibilities
- Troubleshooting: Provide tier-2/3 support for data or performance issues in Hadoop clusters across the entire technical stack.
- Migration: Lead product support during ODP Hadoop migrations and upgrades, ensuring post-migration stability, addressing upgrades, and evolving technical hurdles.
- Optimization: Design and optimize distributed Hadoop-based applications to ensure low-latency, high-throughput performance for big data workloads.
- Provide tier-2/3 support for data or performance issues in Hadoop clusters across the entire technical stack.
- 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.
- As a Product Support Engineer, you will own complex customer environments, mentor junior team members, and drive the reliability of Hadoop and Spark-based data processing systems.
Requirements
- 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,
- Strong desire to tackle complex technical problems in Hadoop and proven ability to do so with little or no direct daily supervision.
- Good to have proficiency in Python, Bash, or Scala for system automation and performance monitoring.
Compensation
- $80k-$100k
Benefits
- Flexible PTO Plan
- Up to 100% employer-paid benefits for health, dental, and vision coverage for specific plans
Company info
- Acceldata is the market leader in Enterprise Data Observability.
- Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.
- Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey's, Dun & Bradstreet, and many more.
- Our Enterprise Data Observability Platform-the first of its kind-helps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power today's most critical technologies, including AI, LLMs, Analytics, and DataOps.
- Becoming part of the team that coined the term "Data Observability"!
Visa & Work Authorization
- Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hershey's, Dun & Bradstreet, and many more.
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