Key Responsibilities:
Teach and develop curriculum in Big Data Analytics, including Hadoop, Spark, Python, R, and related technologies
Deliver interactive lectures, workshops, and hands-on labs
Guide student projects, capstones, and research work
Prepare course materials, assessments, and maintain academic records
Stay current with industry trends and integrate practical case studies
Contribute to academic planning, research, and accreditation processes
Requirements:
Master’s or Ph.D. in Computer Science, Data Science, or a related field
Minimum 5 years of teaching or industry experience in Big Data Analytics
Proficiency in big data platforms and tools (e.g., Hadoop, Spark, Hive, NoSQL, Python, R)
Excellent communication and classroom management skills