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Associate Site Reliability Engineer - Hadoop

Karnataka, India (On-site)

Associate Site Reliability Engineer - Hadoop

2 Months ago • 3 Years + • Administrative • Undisclosed

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

yarn

linux

hadoop

scalability

Job Description

You will join a team of highly skilled engineers who are responsible for delivering Acceldata’s support services in vendor-agnostic environments. As an Associate Site Reliability Engineer, you will actively learn from experienced team members, contributing to improving the availability, scalability, performance, and reliability of our products and our customers' data lake environments.

You will be expected to listen actively to customer concerns and demonstrate empathy in providing solutions. This is an exciting opportunity to grow your technical, business, and interpersonal skills in a dynamic and collaborative environment.

What makes you the right fit for this position?

3+ years of experience (including internships) in working with distributed systems, cloud environments, or data management services is preferred.
Good understanding of Hadoop technologies such as HDFS, YARN, and Hive/Impala, Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager.
Experience operating Linux (configure, tune, and troubleshoot both RedHat and Debian-based distributions).
Exposure to data security and data engineering principles in Hadoop environments is a plus.
Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.

We’re looking for someone who can:

Work alongside experienced SREs to improve the availability, scalability, and reliability of enterprise production services, both for Acceldata products and customers’ data lake environments.
Support implementation and troubleshooting for Hadoop data lake clusters under the guidance of senior engineers.
Learn to implement, stabilize, and tune Hadoop ecosystems in vendor-agnostic environments.
Provide technical support for Hadoop Data Lake clusters across multiple data centers.
Assist in troubleshooting issues across the entire stack – hardware, software, applications, and networks.

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