You'll work end-to-end. That means:
- Design and build scalable ETL/ELT pipelines for BigQuery, using Python and SQL.
- Lead our implementation of DataForm for version-controlled, testable SQL transformations.
- Define and maintain engineering standards: code review, CI/CD, monitoring, and testing.
- Work with analysts, product engineers, and the AI team to turn business needs into robust data models.
- Mentor teammates and help level up how Journey works with data.
You'll work with modern tech, use LLMs and agentic coding tools responsibly to speed up analysis and development.
Projects You’ll Work On
Projects You’ll Work On
- Migrating legacy Databricks ETL to GCP-native tooling.
- Building cross-cloud ingestion pipelines (e.g., S3 or ADLS → BigQuery) as we consolidate data from partners.
- Setting up a DataForm-based transformation layer from scratch.
- Defining CI/CD and monitoring standards for the data platform.
