- Python with Spark
- Has GCP and DBT experience
- Has robust data engineering fundamentals (modeling, schema design, architecture patterns)
- Has a track record of owning projects independently end-to-end
- Shows curiosity about the broader impact and goals of their work
Pipeline Development: Create and maintain ETL (extract, transform, load) processes to move data smoothly from multiple sources to data warehouses or lakes.