Assistant Professor - Data Engineer

Newton School of Technology

Sonipat

On-site

INR 900,000 - 1,500,000

Full time

5 days ago
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Job summary

Newton School of Technology in Haryana invites an experienced Assistant Professor – Data Engineer to join our team. This role blends technical leadership with mentoring, contributing to cutting‑edge web development projects while guiding students.

You will design and deliver curriculum on Data Visual Analytics, DBMS, SQL/NoSQL, and cloud databases, assess students, and foster industry‑relevant projects using MySQL, PostgreSQL, MongoDB, Power BI, and Tableau.

Qualifications

  • M.Tech or PhD in CS/IT or related field.
  • 3+ years of data engineering experience.
  • Expertise in relational and NoSQL databases.
  • Certifications in database technologies are a plus.

Responsibilities

  • Curriculum development for Data Visual Analytics, DBMS, lesson plans and practicals.
  • Teaching and training on relational models, SQL, NoSQL, normalization and design.
  • Assessment via tests and projects; provide mentorship to students.
  • Foster student engagement and guide career opportunities in database management.
  • Share insights on industry practices and tools like MySQL, PostgreSQL, MongoDB, Power BI, Tableau.
  • Collaborate with instructors to integrate database concepts into multidisciplinary projects.

Skills

Data Engineer
Python
SQL
PL/SQL
Data Visualization
Power BI
Tableau
MySQL
PostgreSQL
MongoDB
Cassandra
Cloud Databases

Education

M.Tech / PhD in CS/IT

Tools

MySQL
PostgreSQL
Oracle
MongoDB
Cassandra
Power BI
Tableau
AWS RDS
Azure SQL
Google Cloud Spanner

Job description

About Newton:

Newton School of Technology (NST) is a new-age institution redefining technical education in India. Founded by IIT alumni, NST offers a 4-year B.Tech in Computer Science and AI, focused on hands-on learning and deep industry integration. Within two years, over 93% of students have secured paid internships with companies like Razorpay, SarvamAI, and DRDO, along with global exposure through tech treks to Singapore and Silicon Valley. Led by a distinguished faculty comprising ICPC World Finalists and ex-professionals from ISRO, Microsoft, MakeMyTrip, and several other leading tech organizations, NST is building a scalable, high-impact model that produces industry-ready talent for the world’s most advanced technology roles.



About the Role:

We are looking for a highly skilled and experienced Assistant Professor – Data Engineer to join our team. This role is a perfect blend of technical leadership and mentoring. You’ll be contributing to cutting‑edge web development projects while guiding and inspiring the next generation of software engineers.


If you’re passionate about coding, solving complex problems, and helping others grow, this role is for you!



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 environment.

  • 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, Power BI, Excel, Tableau 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:


  • M.tech/Phd 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 Python, 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: 3+ years

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