About the Role : We are looking for a passionate and experienced Data Engineer + Instructor to deliver engaging instruction in data visualization, machine learning, and AI concepts, with a strong emphasis on Python programming. You will guide learners in building skills to visualize, analyze, and model data, preparing them for real-world applications in data science and AI.
If you’re passionate about coding, solving complex problems, and helping others grow, this role is for you!
Key Responsibilities :
1. Curriculum Development :
- Design and develop Data Visual Analytics, DBMS course content, lesson plans, and practical assignments.
- Stay updated with the latest trends in database technologies and incorporate them into the curriculum.
2. Teaching and Training :
Deliver lectures and hands-on sessions on database concepts such as relational models, SQL, NoSQL, normalization, and database design.Provide real-world use cases and examples to enhance student understanding.Teach advanced topics like query optimization, database security, data warehousing, and cloud databases.Build real-world capstone projects that combine data visualization with AI / ML applications.Stay up to date with the latest industry trends and tools in Data Science, AI / ML, and Visual Analytics3. Assessment and Feedback :
Develop and administer tests, quizzes, and projects to assess student progress.Provide constructive feedback and mentorship to help students excel.4. Student Engagement :
Foster an engaging and collaborative classroom environment.Assist students in troubleshooting database issues or practical exercises.Guide students on career opportunities in database management and related fields.5. Industry Relevance :
Share insights on industry practices and tools like MySQL, PostgreSQL, MongoDB, Oracle, etc.Organize workshops, hackathons, or webinars for hands-on learning experiences.6. Collaboration :
Work with other instructors and departments to integrate database concepts into multidisciplinary projects.Adapt teaching methodologies to suit diverse learning styles.Qualifications and Requirements :
1. Education / Experience :
Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.Expertise in Data Engineering.Certifications in database technologies (e.G., Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist) are a plus.2. Technical Skills :
Proficiency in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra, Knn and Clustering).Tableau or Power BI.Strong command of SQL, PL / SQL, or T-SQL.Familiarity with database design, normalization, indexing, and performance tuning.Knowledge of cloud database platforms like AWS RDS, Azure SQL, or Google Cloud Spanner.3. Experience : 5 - 10 Years
