Data Engineer Pyspark GCP

- Python with Spark

- Has GCP and DBT experience
- Has strong 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.

help in the migration of platform from AWS to GCP

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