GHAZIABAD · FULLTIME
Assistant Professor (AWS Cloud Data Engineering)
Theody Svadhyay Trailblaze
Ghaziabad · onsite · Posted 68d ago
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About this role
We are looking for an AWS-certified faculty member / Assistant Professor to join a reputed college in Ghaziabad. The role requires strong expertise in AWS Solutions Architecture, along with practical knowledge of AWS Data Engineering, and the ability to teach and mentor college students through practical, industry-oriented learning.
This is an immediate joining, on-site role with a part-time teaching schedule.
Position: Assistant Professor / AWS Faculty
Location: Ghaziabad
Work Mode: On-site
Schedule: Monday, Wednesday & Friday
Training Duration: 2 hours per session
Joining: Immediate
Experience: 2-3+ years
Certification: AWS Certified Solutions Architect Mandatory
Key Responsibilities
- Deliver classroom sessions on AWS Solutions Architecture and AWS Data Engineering.
- Teach AWS concepts through practical examples, demonstrations, and hands-on exercises.
- Explain cloud architecture, AWS services, data engineering workflows, and real-world use cases.
- Train and mentor college/fresher students, ensuring strong conceptual and practical understanding.
- Resolve student queries and provide guidance on assignments, projects, and practical implementation.
- Keep training aligned with current industry practices and AWS technologies.
Required Qualifications & Experience
- 2-3+ years of total industry experience in Cloud / AWS / Data Engineering.
- Minimum 3 year of training/teaching experience.
- Must hold AWS Certified Solutions Architect certification.
- Strong practical knowledge of AWS Data Engineering and related AWS services.
- Prior experience training college students, freshers, or entry-level learners is mandatory.
- Strong communication, presentation, and classroom management skills.
- Ability to simplify technical concepts for students with varying levels of technical knowledge.
Candidates who have both strong AWS Solutions Architecture expertise and hands-on AWS Data Engineering experience will be preferred.
Apply at [email removed]
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Section · 02