As the Course Developer for Data Modeling and Data Engineering, you will be responsible for creating an in-depth, hands-on course that covers fundamental and advanced concepts of data design, storage, and processing pipelines. Your primary goal is to equip learners with the practical skills and knowledge needed to plan, model, and engineer data solutions in real-world scenarios.
a. Curriculum Design:
1. Develop an end-to-end syllabus covering data modeling (conceptual, logical, physical), ETL/ELT processes, and modern data engineering frameworks.
2. Incorporate both foundational theories and emerging best practices in the field.
b. Course Content Creation:
1. Produce video lectures, practical demos, and interactive slide decks.
2. Design hands-on labs, coding challenges, quizzes, and real-world projects (e.g., creating a data warehouse, building a data pipeline).
c. Hands-On Labs and Projects:
1. Demonstrate how to use various tools and technologies (e.g., SQL/NoSQL databases, Apache Spark, Airflow, AWS/GCP/Azure services).
2. Guide learners through data ingestion, transformation, and storage scenarios.
d. Assessment & Feedback:
1. Develop tests, mini-projects, and peer-review assignments to reinforce learning.
2. Offer clear, constructive feedback to help students excel in data modeling and engineering tasks.
