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Big Data (Hadoop) Support Engineer

Big Data (Hadoop) Support Engineer

RiskInsight Consulting Pvt Ltdhyderabad, India
9 hours ago
Job description

Responsibilities

  • Provide technical support and troubleshooting for Big Data applications and systems built on the Hadoop ecosystem.
  • Monitor system performance, analyze logs, and identify potential issues before they impact services.
  • Collaborate with engineering teams to deploy and configure Hadoop clusters and related components.
  • Assist in maintenance and upgrades of Hadoop environments to ensure optimum performance and security.
  • Develop and maintain documentation for processes, procedures, and system configurations.
  • Implement data backup and recovery procedures to ensure data integrity and availability.
  • Participate in on-call rotations to provide after-hours support as needed.
  • Stay up to date with Hadoop technologies and support methodologies.
  • Assist in the training and onboarding of new team members and users on Hadoop best practices.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 3+ years of experience in Big Data support or system administration, specifically with the Hadoop ecosystem.
  • Strong understanding of Hadoop components (HDFS, MapReduce, Hive, Pig, etc.).
  • Experience with system monitoring and diagnostics tools.
  • Proficient in Linux / Unix commands and scripting languages (Bash, Python).
  • Basic understanding of database technologies and data warehousing concepts.
  • Strong problem-solving skills and ability to work under pressure.
  • Excellent communication and interpersonal skills.
  • Ability to work independently as well as collaboratively in a team environment.
  • Willingness to learn new technologies and enhance skills.
  • Skills : Hadoop, spark / scala, HDFS, SQL, Unix Scripting, Data Backup, System Monitoring

    Benefits

    Competitive salary and benefits package.

    Opportunity to work on cutting-edge technologies and solve complex challenges.

    Dynamic and collaborative work environment with opportunities for growth and career advancement.

    Regular training and professional development opportunities.

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