Technical Skills:
Skill | Years/Level of Experience |
Google Cloud Data Catalog | 3 to 5 years |
Google BigQuery | 3 to 5 years |
Google Cortex | 3 to 5 years |
Role Description:
As a Google Cloud Platform Developer, you will be responsible for designing and implementing robust data solutions that leverage the capabilities of Google BigQuery and the Google Cortex Framework. Your primary focus will be on custom development to create scalable data models within BigQuery, ensuring these models are optimized for use by business analysts and can seamlessly feed into downstream visualizations and reporting tools. You will work closely with metadata and knowledge catalog systems, applying medallion architecture principles to structure and manage data efficiently throughout its lifecycle. Your day-to-day tasks will involve collaborating with cross-functional teams to translate business requirements into technical solutions that drive actionable insights.
To excel in this role, you should be comfortable working with a variety of development version control tools, including Jenkins for continuous integration, Git and GitHub for source code management, and VSCode as your primary development environment. Experience with Google Dataform will be valuable for orchestrating data workflows, while strong SQL skills are essential for querying and transforming large datasets. Familiarity with metadata management and cataloging processes will help you maintain high data quality and governance standards. Exposure to medallion architecture concepts will enable you to design data pipelines that are both resilient and scalable, supporting the evolving needs of the business.
Responsibilities:
· Design, develop, and maintain data models in Google BigQuery using the Google Cortex Framework.
· Implement custom development solutions to support business analysts and downstream reporting needs.
· Collaborate with stakeholders to understand data requirements and translate them into scalable data models.
· Use Google Dataform for pipeline orchestration and management.
· Integrate and manage metadata and knowledge catalog solutions to ensure data discoverability and governance.
· Apply medallion architecture principles to structure and optimize data workflows.
· Use Jenkins for CI/CD automation and Git/GitHub for version control and collaboration.
· Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
· Work within VSCode and other development tools to deliver high-quality, maintainable code.
· Support the creation of data assets that feed into business intelligence visualizations and reports.
Education Level: College Degree
