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Big Data Engineer (Cloudera Admin)

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  • Cloudera Infrastructure Design: Design and implement Cloudera infrastructure for data storage, processing, and analytics to meet the platform’s scalability, performance, and security requirements.
  • System Integrations & Automation: Manage system integrations, automation, and CI/CD pipelines to streamline operations and improve platform efficiency.
  • Scalability & Availability: Ensure system scalability, availability, and performance by proactively monitoring the infrastructure and addressing potential issues.
  • Resource Utilization Optimization: Monitor and optimize resource utilization across the platform to ensure efficient operation and reduce costs.
  • Collaboration: Work with cross-functional teams to ensure the platform meets the data and business needs of the organization.
  • Cloudera Administration: Install, configure, and manage Cloudera Hadoop clusters (CDH/CDP).
  • Monitor cluster health using Cloudera Manager.
  • Manage Hadoop ecosystem components: HDFS, YARN, Hive, Impala, HBase, Spark, Kafka.
  • Perform cluster upgrades, patching, and capacity planning
  • Handle performance tuning and troubleshooting.
  • Implement and maintain data security (Kerberos, Ranger, Sentry).
  • Manage backup, disaster recovery, and data replication.



Requirements

  • Education: Bachelor’s degree in computer science, Engineering, or a related field.
  • Experience (3-5 years) : Proven experience with Cloudera infrastructure and containerization technologies such as Kubernetes.
  • Technical Skills: Strong expertise in streaming, KAFKA), and system monitoring tools such as Dynatrace and Grafana.
  • Expertise in designing, implementing, and maintaining scalable infrastructure for data platforms.
  • Proficient with Cloudera and CI/CD automation.
  • Strong experience in system monitoring, performance optimization, and ensuring high availability.
  • Ability to work with cross-functional teams to meet platform needs.


See also

Data Engineering jobs by country — openings, pay and top skills →

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