Cloud Data Engineer — Build Scalable Pipelines on GCP
Summary
Data Engineer developing and maintaining GCP data pipelines (BigQuery, Dataproc, Cloud Composer) using Python, PySpark, and SQL to support analytics and business reporting in Agile teams.
Capgemini Engineering in Mexico is seeking a Data Engineer to develop and maintain data pipelines that support analytics and business reporting. You will optimize ETL/ELT processes, validate data quality, and collaborate with Agile teams to deliver platform enhancements.
We expect 4–5 years of data engineering experience, strong Python, PySpark, SQL skills, and experience with BigQuery, Dataproc, and Cloud Composer in GCP.