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Cloudera Data Engineer

Maaloomatiia Academy · Dubai

Dubai · On-siteFull-TimePosted Aug 23, 2026

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Job description

Job Title Cloudera Data Engineer Job Scope We are seeking an experienced Cloudera Data Engineer with strong hands-on expertise in Cloudera CDP, Hadoop, Spark, Hive, and HDFS . The ideal candidate will be responsible for building and maintaining big data pipelines, optimizing data workflows, and supporting production environments to ensure reliability and performance.

Main Duties And Responsibilities

  • Design, build, and maintain big data pipelines using Cloudera CDP components.
  • Develop and optimize ETL/ELT workflows using Spark, Hive, and Hadoop ecosystems.
  • Manage and maintain HDFS storage, ensuring high availability and performance.
  • Perform production support activities, including issue resolution, monitoring, and performance tuning.
  • Work with data scientists, analysts, and other engineering teams to support data-driven initiatives.
  • Ensure data governance, security, and compliance across big data environments.
  • Troubleshoot cluster-level issues related to resource utilization, scheduling, and configuration.
  • Participate in solution design, architecture discussions, and technical documentation.

Position Requirements

  • Strong hands-on experience with Cloudera CDP.
  • Proficiency in Hadoop ecosystem: HDFS, YARN, MapReduce, Hive, Impala.
  • Strong experience working with Apache Spark (PySpark or Scala preferred).
  • Solid understanding of distributed systems and big data architecture.
  • Experience with production support and troubleshooting in big data environments.
  • Strong SQL skills and experience optimizing large-scale queries.
  • Familiarity with Linux, shell scripting, and automation tools.
  • Experience with version control (Git) and CI/CD workflows is a plus.

Education Bachelor's degree in Computer Science or any other related field

Experience

  • Experience with cloud platforms (AWS, Azure, GCP) for big data workloads.
  • Exposure to Kafka, NiFi, Oozie, or similar data orchestration tools.
  • Knowledge of Docker, Kubernetes, or containerized environments.
  • Understanding of security, encryption, and data governance concepts.

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