Key Responsibilities
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.
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.
Assessment and Feedback:

● Develop and administer tests, quizzes, and projects to assess student progress.

● Provide constructive feedback and mentorship to help students excel.
Student

Engagement

● Foster an engaging and cooperative classroom workplace.

● Assist students in troubleshooting database issues or practical exercises.

● Guide students on career opportunities in database management and related fields.
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.
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
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.
Technical

Skills

● Proficiency in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra, Knn and Clustering).

● Tableau or Power BI.

● Solid 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 Pune
🏢 Newton School
📍 Pune