Description
Sertis is hiring a Data Engineer to design, build, and maintain scalable data pipelines, ETL processes, data models, data warehouses, and data lakes. The role focuses on Google Cloud Platform, BigQuery, file conversion, data quality, infrastructure monitoring, troubleshooting, and collaboration with cross-functional teams. Candidates need at least three years of hands-on data engineering experience, GCP and BigQuery experience, ETL tool knowledge, SQL and programming-language proficiency, and the ability to work independently in a contract role.
