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Training & Education
Data Engineering Mentor
We are looking for an experienced Data Engineering Mentor who can train and guide students and working professionals in practical Data Engineering concepts. The ideal candidate has strong technical knowledge and can explain complex concepts in a simple, structured, and practical manner.
Key responsibilities
- Conduct technical training sessions for students and working professionals.
- Explain Data Engineering concepts using real-world examples and projects.
- Design and deliver hands-on assignments, exercises, and projects.
- Mentor learners throughout their learning journey.
- Conduct assessments, doubt-clearing sessions, and technical discussions.
- Guide learners in building industry-relevant projects and portfolios.
- Keep course content updated with current industry practices.
- Provide feedback on learner performance and project work.
- Support learners with interview preparation and technical discussions.
- Conduct training sessions at client / college locations when required.
Required technical skills
- SQL
- Python
- Data Warehousing
- ETL / ELT
- Data Pipelines
- AWS / Azure
- Pandas
- Linux / Shell Scripting
- Database Concepts
- Data Modelling
- Cloud Data Engineering
- Git / Version Control
Good to have
- Apache Spark
- Airflow
- AWS services such as S3, Glue, Redshift
- Azure Data Factory
- Databricks
- Basic AI / ML concepts
- Experience working with real-world Data Engineering projects
Candidate requirements
- Strong communication and presentation skills.
- Ability to simplify technical concepts.
- Strong problem-solving skills.
- Hands-on industry/project experience.
- Passion for teaching and mentoring.
- Comfortable working with students, freshers, and working professionals.
- Comfortable travelling to different client / college locations when required.