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Salary
$24k – $61k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Overview
Company
Impact
Profile match
Acceldata is building products for more effective Data Operations by providing optimisation along BI, Data Science, Analytics and Streaming Systems, ultimately improving performance.

You will join a team of highly skilled Hadoop engineers who are responsible for delivering Acceldata's support services in vendor-agnostic environments. As a 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.

Responsibilities:

  • 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, stabilise, and tune Hadoop ecosystems in vendor-agnostic environments.
  • Provide technical support for Hadoop Data Lake clusters across multiple data centres.
  • Assist in troubleshooting issues across the entire stack - hardware, software, applications, and networks.

Requirements:

  • 5+ years of experience working with distributed systems, cloud environments, or data management services is preferred.
  • Good understanding of Hadoop technologies, including HDFS, YARN, and Hive/Impala. Working knowledge of Kafka, NiFi, Ambari, and Cloudera Manager.
  • Experience operating Linux (configure, tune, and troubleshoot both Red Hat 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.
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