Cloud Data Engineer (GCP) — ETL, Python, BI | Flexible
Summary
Designs and maintains scalable data pipelines on Google Cloud Platform, focusing on ETL processes, serverless apps, and BI dashboards using Airflow, BigQuery, and Python.
Making Science is seeking a data engineer to design, build, and maintain scalable data solutions on Google Cloud Platform, improving data models with Airflow, Dataform, and BigQuery.
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You will develop serverless apps with Cloud Run/Functions, and create dashboards in Looker Studio or Power BI while ensuring data integrity and timely ETL processes.
The role requires 2–3 years of experience and a solid foundation in SQL and Python, with an undergraduate technical degree. xqbhyrx
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