Data Engineering Course Creation

About the project
We (SCOPE, an EdTech platform) have a fully finalized 15-week Data Engineering curriculum and need an experienced data engineer to create the recorded video lectures from it. The syllabus, lab specs, and learning outcomes are ready — you focus on teaching and recording.

What you'll deliver

~47 video lectures (each ≈ one focused topic, ~60 min)
Live coding & tool demos with screen recording
Hands-on lab walkthroughs for each module
Supporting slides, code samples, and datasets
Topics to cover (full syllabus provided)

Python & SQL foundations, Linux & Git
PostgreSQL, data modeling, star schemas, SCDs
Cloud warehousing — BigQuery & Snowflake (partitioning, cost tuning)
ELT pipelines with dbt (models, tests, snapshots, lineage)
Workflow orchestration with Apache Airflow
PySpark for big data + real-time streaming with Kafka & Spark Structured Streaming
Docker, CI/CD (GitHub Actions), Terraform basics, Azure Data Factory
End-to-end capstone pipeline (ingest → transform → serve)
Requirements

3+ years of hands-on data engineering experience
Clear spoken English and good audio/screen recording quality
Ability to teach beginners from scratch
Prior teaching / YouTube / course-creation experience preferred
To be considered, please include in your bid:

A sample teaching/demo video (any topic) or your YouTube/portfolio link
Tools from the stack above you're strongest in
Your rate — per lecture or per module — and weekly availability
Estimated timeline to complete all 47 lectures
We may start with a trail of 2–3 lectures before committing to the full course.