Hands-On Engineering: Play an active role in day-to-day engineering tasks, coding, reviewing, and designing complex data solutions. Share knowledge and best practices with peers through code review and technical discussion, contributing to a culture of engineering excellence without a formal management remit.
Data Quality Assurance: Collaborate with all the data owners to implement processes that ensure data reliability, efficiency, and quality, including data cleaning and validation. Implement and maintain a robust Row-Level Security.
Data Quality Assurance: Collaborate with all the data owners to implement processes that ensure data reliability, efficiency, and quality, including data cleaning and validation. Implement and maintain a robust Row-Level Security.
Data Quality Assurance: Collaborate with all the data owners to implement processes that ensure data reliability, efficiency, and quality, including data cleaning and validation. Implement and maintain a robust Row-Level Security.
Actively review and optimise report query performance, improving reliability, speed, and scalability for key business reporting and application use cases.
Develop and govern the semanticmodel in Google Looker as the single source of truth for standardized businessmetrics, dimensions, and reporting definitions.
Hands-On Engineering: Play an active role in day-to-day engineering tasks, coding, reviewing, and designing complex data solutions. Share knowledge and best practices with peers through code review and technical discussion, contributing to a culture of engineering excellence without a formal management remit.
Create and maintain data models, schemas, and documentation to support analytics teams, data scientists, and business stakeholders in accessing and understanding data.