Data Engineer + Instructor

Newton School of Technology; Sonipat; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading educational institution is seeking a Data Engineer + Instructor to teach data visualization, machine learning, and AI concepts with a strong emphasis on Python programming. The ideal candidate will design course content, deliver engaging lectures, and mentor students to build skills for real-world data science applications. A degree in Computer Science along with strong database expertise is essential. This is a full-time position based in Sonipat, Haryana.

Qualifications

• 5-10 years of experience in Data Engineering or related fields.
• Certifications in database technologies are a plus.

Responsibilities

• Design and develop course content and lesson plans.
• Stay updated with the latest trends in database technologies.
• Deliver lectures and hands-on sessions on database concepts.
• Provide real-world use cases to enhance student understanding.
• Teach advanced topics like query optimization and cloud databases.
• Guide students on career opportunities in database management.
• Organize workshops, hackathons, or webinars for hands-on learning.

Skills

Proficiency in relational databases

Strong command of SQL

Expertise in Data Engineering

Familiarity with NoSQL systems

Knowledge of cloud database platforms

Education

Bachelor’s or Master’s degree in Computer Science or IT

Tools

MySQL

PostgreSQL

Oracle

MongoDB

Job description

About the Role

We are looking for a passionate and experienced Data Engineer + Instructor to deliver engaging instruction in data visualization, machine learning, and AI concepts, with a strong emphasis on Python programming. You will guide learners in building skills to visualize, analyze, and model data, preparing them for real-world applications in data science and AI.

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

Key Responsibilities

• 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.
• 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.
• Develop and administer tests, quizzes, and projects to assess student progress.
• Provide constructive feedback and mentorship to help students excel.
• Foster an engaging and collaborative classroom environment and assist students in troubleshooting database issues or practical exercises.
• Guide students on career opportunities in database management and related fields.
• Share insights on industry practices and tools like MySQL, PostgreSQL, MongoDB, Oracle, etc.
• Organize workshops, hackathons, or webinars for hands‑on learning experiences.
• 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
   • 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.
2. Technical Skills
   • Proficiency in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra, KNN and Clustering).
   • Strong 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.
3. Experience 5‑10 Years

Job Details

• Seniority level: Mid‑Senior level
• Employment type: Full‑time
• Job function: Information Technology
• Industry: Higher Education