Assistant Professor - DBMS

Newton School; Pune District; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Newton School in Pune seeks an Assistant Professor to lead data and database courses, combining strong practical knowledge with mentoring and curriculum development. The role emphasizes hands-on learning, projects, and industry-ready data skill development for students.

The ideal candidate has expertise in SQL, data engineering, BI tools, and cloud platforms, with a passion for translating complex concepts into engaging teaching experiences.

Qualifications

• Master's degree in Computer Science, Information Technology, Data Science, or related field; PhD preferred.
• Minimum 3 years of relevant professional experience in data engineering, database development, BI/data analytics, or related roles.
• Demonstrated ability to explain technical concepts clearly and mentor others.
• Prior teaching, training, or mentoring experience is preferred.

Responsibilities

• Design and develop course content, lesson plans, lab exercises, and assessments for DBMS, data engineering, and data visualisation.
• Deliver lectures, workshops, and hands-on sessions on databases, SQL, data modelling, and design.
• Guide real-world projects and capstone activities integrating data engineering and analytics.
• Mentor students, provide feedback, and support career readiness for data roles.
• Collaborate with faculty to enhance teaching methods and learning outcomes.

Skills

SQL

Data visualisation

Data modelling

ETL/ELT

Cloud data platforms

Python

NoSQL (MongoDB)

Data warehousing

Database design

Communication skills

Education

Master's degree in Computer Science or related field

PhD in Computer Science (preferred)

Tools

Power BI

Tableau

PostgreSQL

MySQL

Microsoft SQL Server

Python

Job description

Job Description

About Newton School of Technology: NST is a new-age institution redefining technical education in India. Founded by IIT alumni, NST offers a four-year B.Tech programme in Computer Science and AI, emphasising hands‑on learning, industry integration, and real-world problem-solving.

With industry-focused projects, practical learning opportunities, and exposure to emerging technologies, NST aims to prepare students for advanced technology careers. Its faculty brings together academic expertise and industry experience to create an engaging, outcome-driven learning environment.

About the Role: We are looking for an Assistant Professor to join our academic team in Pune.

This role combines technical expertise with teaching, mentoring, and curriculum development. The ideal candidate will have strong practical knowledge of databases, SQL, data engineering, and data visualisation, along with the ability to translate complex technical concepts into engaging, hands‑on learning experiences.

You will design and deliver industry-relevant courses, mentor students through practical assignments and capstone projects, and help develop the next generation of data professionals.

Key Responsibilities

1. Curriculum Development

• Design and develop course content, lesson plans, lab exercises, and assessments covering DBMS, data engineering, and data visualisation.


• Develop practical assignments and projects aligned with industry practices and current technologies.


• Continuously update curriculum content to reflect emerging trends in databases, business intelligence, analytics, and cloud technologies.

2. Teaching and Training

• Deliver lectures, workshops, and hands‑on sessions on database management systems, SQL, data modelling, and database design.


• Teach relational database concepts, normalisation, indexing, query optimisation, transactions, and database security.


• Train students in Python, data processing, ETL/ELT concepts, and introductory data pipeline development.


• Teach data visualisation and reporting using Power BI, Tableau, Excel, or equivalent tools.


• Introduce students to data warehousing, cloud databases, and relevant industry use cases.

3. Practical Projects and Industry Application

• Design real-world projects involving data collection, transformation, analysis, and visualisation.


• Develop capstone projects that integrate data engineering, business intelligence, and, where relevant, AI/ML applications.


• Incorporate industry scenarios and datasets to help students develop practical problem‑solving skills.


• Guide students in building portfolio‑ready projects that demonstrate their technical capabilities.

4. Student Assessment and Mentorship

• Develop quizzes, assignments, coding exercises, and project-based assessments.


• Evaluate student performance and provide actionable feedback.


• Mentor students in debugging, troubleshooting, analytical thinking, and technical problem‑solving.


• Support students in building career‑ready skills and preparing for data engineering, database, and analytics roles.

5. Industry Collaboration

• Stay updated on industry tools, technologies, and best practices.


• Conduct technical workshops, guest sessions, hackathons, and project demonstrations.


• Collaborate with other faculty members to integrate data concepts into multidisciplinary projects.


• Contribute to continuous improvement of teaching methodologies and learning outcomes.

Qualifications and Experience

• Masters degree in Computer Science, Information Technology, Data Science, or a related field or Phd in computer science


• Minimum 3 years of relevant professional experience in data engineering, database development, BI/data analytics, or related technical roles.


• Demonstrated ability to explain technical concepts clearly and mentor others.


• Prior teaching, training, mentoring, or technical enablement experience is preferred.

Technical Skills

• Strong proficiency in SQL and at least one major relational database, such as PostgreSQL, MySQL, or Microsoft SQL Server.


• Good understanding of database design, data modelling, normalisation, indexing, query optimisation, and performance tuning.


• Working knowledge of Python for data processing and automation.


• Practical experience with data visualisation tools such as Power BI or Tableau.


• Understanding of ETL/ELT workflows, data pipelines, and data warehousing concepts.


• Familiarity with NoSQL databases such as MongoDB is an advantage.


• Exposure to cloud data platforms and services, such as AWS, Azure, or Google Cloud, is preferred.


• Strong communication, presentation, and problem‑solving skills.

What We Are Looking For

• A hands‑on technology professional who enjoys teaching and mentoring.


• Someone who can bridge the gap between theoretical concepts and real‑world industry applications.


• A candidate who can build engaging learning experiences and guide students through practical projects.


• A collaborative individual who is passionate about developing future‑ready technology talent.

Job Description

About Newton School of Technology: NST is a new-age institution redefining technical educat...