Summary from listing
The Data Engineer will design, build, test, and deploy scalable cloud and on-premise data models, ETL processes, data pipelines, data warehouses, and data products. The role focuses on data ingestion, data quality, performance, reliability, scalability, analytics and visualization optimization, and collaboration on requirements, backlog management, user stories, and sprint planning. It requires at least five years of commercial Data Engineer experience, strong SQL and Python skills, data modelling and data warehousing knowledge, GCP data engineering tools, BigQuery, DBT, Airflow, Trino, and CI/CD experience.
