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Hadoop Administrator

Ladera Technology

Kolkata, West Bengal, India · 全职

抢先申请

经验
8岁以上
薪水
职位空缺
1
发布
1天前
工作模式
在办公室
恢复
需要申请

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职位描述

About the Company

Ladera Technology is an international IT consulting and solutions firm with a strong focus on digital transformation. Its core capabilities span SAP, cloud services across AWS and GCP, data and AI, and cybersecurity, with the goal of helping organizations modernize their operations, automate workflows, and improve business decision-making.

Role Summary

This position is for a Hadoop Administrator working on enterprise big data and analytics infrastructure. The role centers on cluster administration, performance tuning, security controls, and operational support for critical banking data platforms.

Key Responsibilities

  • Set up, tune, and support Apache Spark clusters.
  • Track cluster health, investigate issues, and resolve Spark job failures or performance bottlenecks.
  • Run and maintain Linux servers, including automation of routine tasks through Bash and Python scripts.
  • Administer Starburst/Trino environments, including cluster configuration and connector management.
  • Implement and uphold platform security, user access controls, and compliance requirements aligned with banking standards.
  • Partner with data engineering and analytics teams to improve query and pipeline performance.
  • Keep essential banking data pipelines available and resilient with high uptime.

Required Skills and Experience

  • At least 8 years of experience in Spark administration and large-scale big data environments.
  • Strong background in Linux administration, preferably on RHEL.
  • Practical, hands-on experience with Starburst and Trino.
  • Working knowledge of Hadoop ecosystem components such as HDFS, Hive, and Ranger.
  • Ability to write and maintain scripts in Bash and Python.
  • Good understanding of authentication, networking, and security concepts.

Preferred Experience

  • Exposure to cloud platforms such as AWS, Azure, or GCP.
  • Experience with banking data processes, governance, and workflow controls.

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