Senior GCP Data Engineer: BigQuery, Airflow & Pipelines
Summary
Senior data engineer designing, building, and optimizing data pipelines on Google Cloud BigQuery. Day to day: ingesting, transforming, and orchestrating enterprise-scale data using Python, SQL, Spark, and Airflow, with data quality controls, CI/CD automation, and cross-functional collaboration (posting via V2 Solutions for EY).
EY is seeking a seasoned GCP Data Engineer to design, build, and optimize data pipelines on Google Cloud (BigQuery). You will ingest, transform, and orchestrate data across enterprise-scale solutions, implementing data quality controls and automation, while collaborating with cross-functional teams.
The role emphasizes strong Python/SQL/Spark skills, CI/CD practices, and experience with Spark, Databricks, and modern data engineering frameworks.