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Title

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Hadoop Administrator

Description

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We are looking for a skilled Hadoop Administrator to join our dynamic team. The ideal candidate will be responsible for managing and maintaining our Hadoop clusters, ensuring their performance, availability, and security. You will work closely with data engineers, data scientists, and other stakeholders to ensure that our big data infrastructure is robust and scalable. Your role will involve installing, configuring, and monitoring Hadoop components, as well as troubleshooting and resolving any issues that arise. You will also be responsible for implementing best practices for data storage, processing, and security. In addition, you will play a key role in capacity planning and performance tuning to ensure that our Hadoop environment can handle the growing demands of our business. The successful candidate will have a strong background in system administration, with specific experience in managing Hadoop clusters. You should be familiar with various Hadoop ecosystem components such as HDFS, YARN, MapReduce, Hive, HBase, and Spark. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for this role. If you are passionate about big data technologies and have a proven track record of managing large-scale Hadoop environments, we would love to hear from you.

Responsibilities

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  • Install, configure, and maintain Hadoop clusters.
  • Monitor Hadoop clusters for performance and availability.
  • Troubleshoot and resolve issues related to Hadoop components.
  • Implement best practices for data storage and processing.
  • Ensure the security of Hadoop clusters and data.
  • Collaborate with data engineers and data scientists.
  • Perform capacity planning and performance tuning.
  • Manage and monitor Hadoop ecosystem components such as HDFS, YARN, MapReduce, Hive, HBase, and Spark.
  • Automate routine tasks using scripting languages.
  • Maintain documentation for Hadoop infrastructure and processes.
  • Perform regular backups and disaster recovery planning.
  • Ensure compliance with data governance and regulatory requirements.
  • Provide support for data ingestion and ETL processes.
  • Monitor and manage Hadoop cluster resource utilization.
  • Implement and manage data replication and high availability solutions.
  • Stay updated with the latest developments in Hadoop and big data technologies.
  • Conduct regular audits and health checks of Hadoop clusters.
  • Provide training and support to other team members.
  • Participate in on-call rotation for after-hours support.
  • Work closely with vendors and service providers for support and maintenance.

Requirements

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  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 3+ years of experience in Hadoop administration.
  • Strong knowledge of Hadoop ecosystem components such as HDFS, YARN, MapReduce, Hive, HBase, and Spark.
  • Experience with Linux/Unix system administration.
  • Proficiency in scripting languages such as Python, Bash, or Perl.
  • Familiarity with configuration management tools like Ansible, Puppet, or Chef.
  • Experience with monitoring tools such as Nagios, Ganglia, or Ambari.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment.
  • Experience with data security and compliance requirements.
  • Knowledge of data warehousing and ETL processes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with containerization technologies like Docker and Kubernetes.
  • Experience with version control systems such as Git.
  • Ability to manage multiple tasks and projects simultaneously.
  • Strong attention to detail and accuracy.
  • Experience with performance tuning and optimization.
  • Ability to work independently and as part of a team.
  • Willingness to participate in on-call rotation for after-hours support.

Potential interview questions

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  • Can you describe your experience with Hadoop administration?
  • What Hadoop ecosystem components are you most familiar with?
  • How do you monitor the performance and availability of Hadoop clusters?
  • Can you provide an example of a complex issue you resolved in a Hadoop environment?
  • What best practices do you follow for data storage and processing in Hadoop?
  • How do you ensure the security of Hadoop clusters and data?
  • Can you describe your experience with capacity planning and performance tuning?
  • What scripting languages are you proficient in?
  • How do you handle data ingestion and ETL processes in Hadoop?
  • What tools do you use for monitoring and managing Hadoop clusters?
  • Can you describe your experience with cloud platforms such as AWS, Azure, or Google Cloud?
  • How do you ensure compliance with data governance and regulatory requirements?
  • What is your approach to disaster recovery planning for Hadoop clusters?
  • How do you stay updated with the latest developments in Hadoop and big data technologies?
  • Can you describe your experience with containerization technologies like Docker and Kubernetes?
  • How do you manage multiple tasks and projects simultaneously?
  • What is your approach to providing training and support to other team members?
  • Can you describe your experience with version control systems such as Git?
  • How do you handle on-call rotation for after-hours support?
  • What is your approach to documentation for Hadoop infrastructure and processes?
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