Newton School of Technology
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Sonipat · On-site · 3-6 Yrs · 4 days ago
Colleges & Universities · 201 to 500 Employees · Bengaluru, India
Hiring: Engineering
What employees say
+ They won’t bother you on weekend
− Company lies a lot to its learners, no one ever gets a refund even if it’s the company’s fault. The upper management is too busy playing politics. They only like people who praise
More reviews on the company profile.
Interview experience · Performance Marketing Manager
It was good , very nice interaction with the panel there were 3 rounds one hr second with the technical team third with the marketing head then there will be offer negotiations
Average difficulty · Bengaluru · 73 reports
More interview insightsJob description
Overview
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.
Responsibilities
- 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.
- 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.
- 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.
- 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.
- 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
- Master's 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.
- 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.
- 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.
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Job application FAQ
Last updated 6 November 2026
- How do I apply for Data Engineer + Instructor at Newton School of Technology?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Newton School of Technology may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer + Instructor role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer + Instructor remote or on-site in Sonipat, Haryana?
- This listing is marked on_site with location Sonipat, Haryana. Confirm details on the job description before applying.
- What skills matter for this Data Engineer + Instructor role at Newton School of Technology?
- This is a mid-level Data Engineer + Instructor role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.