Technical Trainer (French)

Tudip Technologies · Remote

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Last observed by our collector: 9 October 2026 at 12:37 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: technical-trainer-french

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Collected role description

Technical Trainer (French) We are seeking a highly skilled Technical Trainer (French-speaking) to design and deliver impactful training programs for enterprise learners. This role requires deep expertise in the technical ecosystem combined with the ability to effectively engage and educate French-speaking audiences expertise in the technical ecosystem combined with the ability to effectively engage and educate French-speaking audiences. Please read the job criteria below and drop us an email at joinus@tudip.com OR create an account at our Recruitment Portal to get started. Key Responsibilities Deliver instructor-led and virtual training sessions on the platform in French . Design, develop, and customize training materials, hands-on labs, and learning paths aligned with client needs. Train participants across key areas, including: Data Engineering (ETL processes, pipelines) Data Warehousing and Analytics Machine Learning workflows Collaborate with stakeholders to assess training requirements and define learning objectives. Provide ongoing learner support through Q&A sessions, hands-on exercises, and post-training guidance. Continuously update training content based on platform advancements and industry trends. Partner with internal teams to scale and standardize training programs across regions. Required Skills & Qualifications Strong hands-on experience with Delta Lake, Apache Spark, notebooks, workflows. Proficiency in: Apache Spark (Py Spark / Scala) SQL and data modeling Cloud platforms (AWS, Azure, or GCP) Fluency in French (mandatory) and strong communication skills in English. Proven experience delivering technical training, workshops, or enablement programs. Ability to simplify complex technical concepts for diverse audiences. Preferred Qualifications Certifications (e.g., Data Engineer, ML Engineer). Experience in curriculum design or instructional design. Exposure to enterprise data platforms and large-scale implementations. Familiarity with Learning Management Systems (LMS).