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  • Posted 6 hours ago
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Job Description

Role Purpose:

We are seeking an experienced Cloudera Data Platform Technical Trainer & Advisor to train and mentor the client's data engineering and platform teams. The role combines technical training, hands-on labs, platform advisory and troubleshooting, with the objective of improving the team's ability to operate, secure and optimize the on-premises Cloudera/DAMP platform.

Key Responsibilities:

  • Deliver classroom and virtual Cloudera technical training with hands-on labs.
  • Adapt training and exercises to the client's actual CDP/DAMP environment.
  • Provide technical workshops, knowledge assessments and follow-up coaching.
  • Cover key technologies including Cloudera CDP, DataFlow/NiFi, Kafka, Flink, Spark, CDE, CDW, Iceberg, Ozone, security, governance and Cloudera AI.
  • Prepare and maintain training/lab environments, including restricted or air-gapped networks.
  • Provide post-training advisory and office hours on configuration, troubleshooting and performance optimization.
  • Track learner progress, training credits and certification readiness.
  • Prepare candidates for relevant Cloudera certifications.
  • Provide regular progress and skills-gap reports to the delivery manager and client.

Required Experience:

  • 5+ years of hands-on Cloudera/Hadoop production experience.
  • Strong experience with Spark, NiFi, Kafka, Hive/Impala and HDFS/Ozone.
  • Practical experience administering and troubleshooting on-premises Cloudera environments.
  • Knowledge of platform security, authentication, authorization, encryption, auditing and governance.
  • Proven experience delivering technical training, workshops and hands-on labs.
  • Strong English communication skills.
  • Arabic is highly desirable for Saudi Arabia delivery.

Preferred:

  • Current Cloudera certification.
  • Cloudera instructor accreditation or experience with an authorized training partner.
  • Experience in government, defense, banking, aviation or other critical environments.
  • Experience with restricted/air-gapped networks.
  • Knowledge of MLOps, Generative AI and Cloudera AI.
  • Experience developing technical labs and training materials.

Ideal Candidate:

A senior Cloudera practitioner who can combine hands-on engineering, troubleshooting, technical training and mentoring to build the client's long-term platform capabilities.

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Job ID: 153803915

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