Data Engineer + Instructor

Newton School of Technology
Sonipat, Haryana, India

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 experienced Data Engineer & Data Visualisation Instructor to join our academic team in Sonipat. 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 :

  • 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.

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.

Score my resume against this job, free →

Questions about this job

How do I apply for the Data Engineer + Instructor job at Newton School of Technology?

Use the apply link on this page: you apply directly with Newton School of Technology on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does Newton School of Technology want for this Data Engineer + Instructor role?

The job description asks for SQL, PostgreSQL, MySQL, Microsoft SQL Server, Python, Power BI, Tableau and ETL. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at Newton School of Technology?

Apply to the Newton School of Technology roles that match your experience, and tailor your resume to each job description: for this role that means showing SQL, PostgreSQL, MySQL. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Data Engineer + Instructor job remote or onsite?

This is based in Sonipat, Haryana.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with Newton School of Technology, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

Will you get shortlisted for this role? Check your match free →