The Role
Support enterprise clients by troubleshooting Hadoop environments, resolving issues, and performing administrative tasks while ensuring system stability.
Summary Generated by Built In
Overview
Join our team as an Associate Product Support Engineer focused exclusively on Hadoop distributed systems. In this customer-facing role, you will support enterprise clients by troubleshooting and resolving issues within Hadoop environments. You will work closely with experienced engineers, ensuring the stability and reliability of our customers’ Hadoop infrastructures.
Key Responsibilities
- Provide technical support for Hadoop clusters, addressing customer issues with empathy and professionalism.
- Troubleshoot and resolve problems related to Hadoop core components (HDFS, YARN, MapReduce, Hive, etc.).
- Perform basic administrative tasks such as installation, configuration, and upgrades of Hadoop clusters.
- Collaborate with customers to understand their issues and deliver effective solutions.
- Document troubleshooting steps and solutions for knowledge sharing.
Required Skills & Experience
- Minimum 3 years of hands-on experience as a Hadoop Administrator or in a similar Hadoop support role.
- Strong understanding of Hadoop architecture and core components (HDFS, YARN, MapReduce, Hive).
- Proven experience in troubleshooting and resolving Hadoop-related issues.
- Proficiency in Linux operating systems.
- Good communication skills with a customer-first mindset.
- Excellent problem-solving skills and the ability to work independently under pressure.
Good to Have
- Experience with components like Spark, NiFi, and HBase will be considered an added advantage.
- Exposure to data security and data engineering principles within Hadoop environments is a plus.
- Prior experience in a customer-facing technical support role is an added advantage.
- Prior experience with tools like Salesforce & Jira
- Experience with automation and scripting languages, such as Python and Bash, is a plus.
This role is ideal for candidates passionate about Hadoop administration and customer support, looking to deepen their expertise in a focused, high-impact environment.
Top Skills
Bash
Hadoop
JIRA
Linux
Python
Salesforce
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The Company
What We Do
Founded in 2018, Campbell, CA-based Acceldata has developed the world's first enterprise data observability platform to help enterprises build and operate great data products.
Acceldata's solutions have been embraced by global customers, such as Dun & Bradstreet, Verisk, Oracle, PubMatic, PhonePe (Walmart), and many more.
Acceldata investors include Insight Partners, March Capital, Industry Ventures, Lightspeed, Sorenson Ventures, Sanabil, and Emergent Ventures. Contact us to learn about the benefits of data observability.
