Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
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 be responsible for developing and optimizing semantic models, translating existing Power BI logic into scalable Looker solutions, and supporting the adoption of 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 that support enterprise reporting and analytics requirements.
- Create and optimize LookML views, explores, dimensions, and measures to ensure performance, scalability, and consistency.
- 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.
- Collaborate with stakeholders to 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 to ensure consistency across platforms.
- 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 – Understands how to create trusted, reusable, and scalable business metrics.
- Problem solver – Able to translate complex business requirements into technical analytics solutions.
- Innovation-driven mindset – Interested in AI-powered analytics and next-generation BI platforms.
- Collaborative team player – Comfortable working with technical and business stakeholders.
- Continuous learner – Keeps current with emerging trends in data, analytics, and Generative AI.
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
- 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 (GCP).
- 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.
Need to Know
Career Development in Spanish & English: Access to technical training, certifications, mentorship programs, and learning paths focused on Data, Analytics, Cloud, and Artificial Intelligence.
Community Engagement: Participate in technical communities, innovation programs, volunteering initiatives, and knowledge-sharing sessions across Capgemini.
About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society. It is a responsible and diverse organization with more than 340,000 team members in over 50 countries.
With a strong heritage of more than 55 years, Capgemini helps clients unlock the value of technology through end-to-end services and solutions, leveraging capabilities in strategy and design, engineering, AI, generative AI, cloud, and data, combined with deep industry expertise and partner ecosystems.
At Capgemini Mexico, we are committed to creating a diverse and inclusive workplace where everyone has equal opportunities. We welcome applications from all qualified candidates and evaluate them based on merit, skills, qualifications, and experience relevant to the role.
