Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, supported by a collaborative community of colleagues around the world, and able to reimagine what's possible.
Your Role
As a Looker (with Gemini) Developer at Capgemini, you will play a key role in modernizing analytics platforms and enabling self-service business intelligence through Looker and Google Cloud technologies. You will develop and optimize semantic models, translate existing Power BI logic into scalable Looker solutions, and support AI-powered analytics capabilities using Gemini.
You will collaborate with Data Engineers, Business Analysts, Product Owners, and Analytics teams to ensure business metrics are standardized, governed, and aligned with enterprise data products.
Responsibilities & Scope
Looker Development & Semantic Modeling
- Design, develop, and maintain LookML semantic models for enterprise reporting and analytics.
- Create and optimize LookML views, explores, dimensions, and measures.
- Implement business logic and standardized KPI definitions within the Looker Semantic Layer.
- Maintain data model documentation and semantic governance standards.
- Support testing, validation, and deployment of Looker analytics solutions.
Analytics Modernization
- Analyze and map existing Power BI queries, reports, and business logic into Looker-based solutions.
- Translate reporting requirements into scalable semantic models and reusable analytics assets.
- Support migration and modernization initiatives from legacy BI platforms to Looker.
- Ensure data consistency and metric alignment across reporting environments.
Gemini & AI-Driven Analytics
- Support the integration of Gemini-powered analytics capabilities within the Looker ecosystem.
- Enable conversational analytics and AI-assisted data exploration experiences.
- Identify opportunities to leverage Generative AI for reporting and decision-making.
- Ensure semantic models support trusted and accurate AI-generated insights.
Data Governance & Collaboration
- Align semantic models with enterprise Knowledge Catalog data products and governance standards.
- Collaborate with Data Engineering, Data Governance, and Analytics teams.
- Support metadata management, business glossary alignment, and data stewardship activities.
- Promote best practices for semantic modeling, data quality, and analytics governance.
Your Profile
- Analytics-focused professional passionate about transforming data into meaningful business insights.
- Semantic modeling expert who understands trusted, reusable, and scalable business metrics.
- Problem solver able to translate complex business requirements into technical analytics solutions.
- Innovation-driven and interested in AI-powered analytics and next-generation BI platforms.
- Collaborative team player comfortable with technical and business stakeholders.
- Continuous learner who keeps current with data, analytics, and Generative AI trends.
Qualifications & Preferred Skills
Required Skills
- Hands-on experience developing solutions using Looker.
- Strong knowledge of LookML development.
- Experience creating and maintaining views, explores, measures, dimensions, and semantic models.
- Experience analyzing and translating Power BI reports, queries, and business logic.
- Strong understanding of data modeling and analytics architecture.
- Experience defining and governing business metrics and KPIs.
- Proficiency in SQL and query optimization.
- Knowledge of data governance and semantic layer best practices.
- Strong analytical, communication, and problem-solving skills.
- Ability to collaborate effectively with business and technical teams.
Preferred Skills
- Experience with Google Cloud Platform.
- Exposure to Gemini for Google Cloud or AI-powered analytics solutions.
- Familiarity with Knowledge Catalog and metadata management practices.
- Experience supporting BI migration and analytics modernization initiatives.
- Understanding of data warehousing concepts and dimensional modeling.
- Experience working with enterprise-scale reporting environments.
- Familiarity with Agile/Scrum methodologies.
- Exposure to self-service analytics and data governance frameworks.
What You'll Love
- Opportunity to work on next-generation analytics initiatives using Looker, Gemini, and Google Cloud.
- Exposure to enterprise-scale BI modernization and semantic modeling projects.
- Collaboration with global Data, Analytics, and AI teams.
- Access to certifications, learning paths, and professional development opportunities.
- Innovative, collaborative, and inclusive work environment.
- Career growth opportunities within Capgemini's Data & AI practice.
About Capgemini
Capgemini is a global business and technology transformation partner helping organizations accelerate their digital and sustainable transition. It has more than 340,000 team members in over 50 countries and more than 55 years of experience.