About the Role:

We are looking for a passionate and experienced Data Engineer + SME 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:

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.

1. 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 .

1. Assessment and Feedback : ● Develop and administer tests, quizzes, and projects to assess student progress.

● Provide constructive feedback and mentorship to help students excel.

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Student Engagement : ● Foster an engaging and collaborative classroom workplace.

● Assist students in troubleshooting database issues or practical exercises.

● Guide students on career opportunities in database management and related fields.

1. Industry Relevance : ● Share insights on industry practices and tools like MySQL, PostgreSQL, MongoDB, Oracle, 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: ● 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.

1. Technical Skills : ● Proficiency in relational databases (MySQL, PostgreSQL, Oracle) and NoSQL systems (MongoDB, Cassandra, Knn and Clustering).

● Tableau or Power BI .

● 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.

Experience: 1 - 3 years

📌 Data Engineer + SME (Pune)
🏢 Newton School of Technology
📍 Pune