Website:
newtonschooloftechnology.com
Job details:
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.
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, 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.
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 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
Click on Apply to know more.