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Big Data Engineer (Cloudera Admin) at MigrationIT – Cairo | Jobyssey

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Big Data Engineer (Cloudera Admin)

Big Data Engineer (Cloudera Admin)

MigrationIT · Cairo, Egypt · 1 month ago

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Category: Data engineering
Experience: 3+ years

analytics automation ci-cd containerization dynatrace grafana hadoop hbase hive kafka kubernetes sentry spark

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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.

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