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 Analytics.

3. 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 workplace.
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.

Experience: 1 - 4 years

📌 Data Engineer + Associate Instructor (Maharashtra)
🏢 Incanus Technologies
📍 Maharashtra