Data Engineer + Associate Instructor

Newton School

3 - 7 years

2 - 4 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

performance tuning coding database design mysql oracle dba plsql troubleshooting open source information technology python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities:

Course Development Delivery:
Design, develop, and deliver comprehensive lectures and hands-on sessions for Data Visual Analytics and Database Management Systems (DBMS), covering relational models, SQL, NoSQL, normalization, database design, and performance optimization.
Curriculum Innovation:
Continuously update course content by incorporating the latest trends in database technologies, data engineering, cloud databases, and visual analytics to ensure industry relevance.
Practical Learning Capstone Projects:
Build and guide real-world capstone projects that integrate database systems with data visualization and AI/ML applications, enabling students to solve real industry problems.
Technical Instruction Mentorship:
Teach advanced database topics such as query optimization, database security, data warehousing, and cloud-based database platforms. Provide mentorship and troubleshooting support during labs and practical exercises.
Assessment Student Success:
Develop assessments including quizzes, tests, and project evaluations. Offer constructive feedback and personalized mentorship to support student growth and academic excellence.
Industry Engagement Exposure:
Share practical insights into industry-standard tools and technologies such as MySQL, PostgreSQL, MongoDB, Oracle, Tableau, and Power BI. Organize workshops, hackathons, and webinars to promote experiential learning.
Cross-Functional Collaboration:
Collaborate with instructors, departments, and curriculum designers to integrate database concepts into multidisciplinary projects and adapt teaching methods to diverse learning styles.
Career Guidance Professional Development:
Guide students on career paths in database management, data engineering, data science, and analytics, aligning learning outcomes with industry expectations.

Qualifications and Requirements:

Bachelor s or Master s degree in Computer Science, Information Technology, Data Engineering, or a related field.
3-7 years
of professional or teaching experience in Database Systems, Data Engineering, or Data Analytics.
Strong expertise in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra), including concepts such as indexing, normalization, clustering, and performance tuning.
Proficiency in SQL, PL/SQL, or T-SQL, with hands-on experience in database design and optimization.
Experience with data visualization tools such as Tableau or Power BI.
Familiarity with cloud database platforms, including AWS RDS, Azure SQL, and Google Cloud Spanner.
Relevant certifications (e.g., Oracle DBA, Microsoft SQL Server, AWS Certified Database Specialist) are a plus.
Ability to explain complex database and data engineering concepts in a clear, structured, and engaging manner.
Comfortable teaching both theoretical foundations and hands-on, real-world database implementations.

Why join NST

Be part of a mission-driven team bridging the gap between education and employability through hands-on, industry-focused learning.
Work with ICPC world finalists, ex-Googlers, ex-ISRO scientists, and IIT/IISc mentors from Google, CRED, Swiggy, and Goldman Sachs.
Gain real-world exposure through AI, open-source, and government-backed projects with IITs.
Learn Full Stack Development, Data Science, and DevOps with a placement-driven curriculum, mock interviews, and 2,000+ hiring partners. Shape India s next generation of tech leaders.

Good to Have:

Prior experience teaching or mentoring in universities, bootcamps, or corporate training programs.
Familiarity with modern teaching tools and project-based learning methodologies.
Experience in architecting large-scale systems, cloud infrastructure (AWS, Azure,GCP), or distributed computing frameworks.
Contributions to open-source projects, technical blogs, or developer communities.

Key Competencies:

Strong analytical and problem-solving mindset.
Excellent communication and presentation skills.
Passion for technology, mentorship, and continuous learning.
Ability to bridge academic depth with real-world engineering practice.

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