Databricks Technical Trainer
⟨A|Q⟩MATiCS
Hyderabad, Telangana, India3h agovia LinkedIn
About the Role
AQMATICS seeks skilled and enthusiastic Databricks Technical Trainers to deliver live, instructor-led online training sessions for students and professionals. The role involves delivering structured technical sessions, conducting practical demonstrations, guiding learners through hands-on exercises, and helping them develop real-world data engineering skills using Databricks and PySpark. The trainer will work closely with the academic delivery team to ensure an engaging and effective learning experience.
Key Responsibilities
- Conduct interactive, instructor-led online training sessions on Databricks, PySpark, and Data Engineering.
- Explain technical concepts through practical examples, demonstrations, and hands-on exercises.
- Prepare and deliver structured training materials, presentations, and practical notebooks.
- Guide learners through assignments, exercises, and real-world use cases.
- Address technical queries and troubleshoot issues during training sessions.
- Track learner understanding and provide constructive feedback.
- Coordinate with the AQMATICS delivery team to maintain training quality and schedules.
Requirements & Tech Stack
- Strong working knowledge of Databricks and the Lakehouse architecture.
- Proficiency in Python, PySpark, and SQL.
- Practical understanding of Apache Spark and distributed data processing.
- Experience with Delta Lake, data pipelines, and ETL workflows.
- Familiarity with data engineering concepts and cloud-based data platforms.
- Ability to demonstrate concepts through practical exercises and real-world scenarios.
Qualifications
- Previous experience delivering technical training, workshops, or academic sessions.
- Experience teaching undergraduate or postgraduate students.
- Strong communication and presentation skills.
- Ability to simplify complex technical concepts for beginners.
- Relevant certifications in Databricks, Data Engineering, or cloud technologies will be an advantage.
- Ability to independently conduct engaging virtual sessions and manage learner queries.
Work Details
- Location: Remote / Online
- Training Mode: Live, instructor-led virtual sessions
- Audience: College students and early-career professionals
- Engagement: Based on training schedules and program requirements
Who Should Apply?
Databricks professionals, Data Engineers, technical trainers, and industry practitioners with strong hands-on expertise and a passion for teaching.