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24 hours ago
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: 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. 3. Experience: 5 - 10 Years
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