وظيفة مدرب تقني شاغرة لدى Acuative Middle East في الرياض

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.