At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide unique R&D; and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days arethe same.
Job Description
Design, develop, and optimize Looker semantic models to enable trusted self-service analytics and AI-powered insights using Gemini. Partner with business and data teams to migrate and enhance reporting capabilities from Power BI to Looker.
Key Responsibilities
- Analyze and map existing Power BI datasets, measures, and queries into Looker semantic models.
- Develop and maintain LookML models, including views, explores, dimensions, and measures.
- Optimize LookML performance, usability, and scalability.
- Align semantic models with enterprise Knowledge Catalogs and governed Data Products.
- Enable Gemini-powered analytics experiences through well-structured and trusted semantic layers.
- Collaborate with Data Engineering and Business teams to ensure consistency and accuracy across reporting assets.
Technical Requirements
- Strong experience with Looker and LookML development.
- Experience migrating or translating Power BI semantic models and business logic.
- Proficiency in SQL and dimensional data modeling.
- Experience with Google Cloud Platform (GCP), particularly BigQuery.
- Familiarity with Gemini, conversational BI, and AI-assisted analytics capabilities.
- Understanding of data governance, metadata management, and semantic layer design.
- Experience with Git and CI/CD practices for analytics development.
Capgemini is a general business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and