Data Engineer GCP
Skills
Continuous Integration And Continuous DeliveryBusinessData ValidationEngineeringGood Clinical PracticeGoogle Cloud PlatformInfrastructure As Code
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Experience with Google BigQuery
- SQL development with complex queries stored procedures and performance tuning
- Familiarity with GCP services such as Cloud Storage Cloud Functions Pub/Sub or Cloud Composer
- Experience with data pipeline development ETL ELT and orchestration tooling
- Exposure to Infrastructure as Code such as Terraform and CI CD pipelines such as Git GitLab
- High attention to detail and ability to simplify complex requirements
- Interest in AI-assisted development tooling such as Claude Code
- Ability to work to deadlines in a fast-paced reactive environment
- SQL Server experience to support legacy systems during migration
Nice to have
- Methodical
- Detail oriented
- Collaborative
- Analytical
- Adaptable
Day to day
- Develop and maintain regulatory data submission systems on GCP and BigQuery.
- Build automated data pipelines for ingestion transformation and loading of reporting data.
- Support migration from SQL Server to cloud-native GCP solutions while improving data quality and reliability.
- Implement validation monitoring alerting and documentation to deliver accurate submissions and efficient operations.