Towards Data Science09 phút
Your First Task as a Data Engineer in a New Company? Make the ETL Pipeline Testable
A practical guide for data engineers joining a new company, focused on making ETL pipelines testable from day one. Covers environment setup using Docker, VS Code, and Dev Containers, then walks through writing unit tests and integration tests for a PySpark-based data ingestion pipeline. Uses a concrete AI cost tracking example to demonstrate testing column sanitization logic and full pipeline validation. Also discusses how AI coding tools like Cursor and GitHub Copilot can accelerate understanding unfamiliar codebases and generating initial test scaffolding.