Looker Developer: AI-Powered Analytics & Modernization

Capgemini; Aguascalientes; Presencial; MXN 520.000 - 820.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Certifications program

Learning paths

Professional development opportunities

Descripción de la vacante

Capgemini is seeking a Looker (with Gemini) Developer to modernize analytics platforms and enable self-service BI using Looker and Google Cloud. You will translate Power BI logic into scalable Looker models, develop semantic layers, and support AI-powered analytics while ensuring data governance across reporting environments.

You will collaborate with Data Engineers, Analysts, Product Owners, and Analytics teams to standardize metrics, align with enterprise data products, and drive migration

Formación

• Hands-on Looker development experience.
• Strong LookML development knowledge.
• Experience creating semantic models, views, explores, measures and dimensions.
• Ability to translate Power BI reports and logic to Looker.
• Strong SQL and query optimization skills.

Responsabilidades

• Design, develop, and maintain LookML semantic models for enterprise reporting.
• Create and optimize LookML views, explores, dimensions, and measures.
• Implement KPI definitions and governance in the semantic layer.
• Map Power BI queries to Looker solutions and support migration to Looker.
• Support Gemini-powered analytics within Looker and AI-assisted exploration.

Conocimientos

Looker

LookML

SQL

Data modeling

Power BI translation

GPT/ Gemini AI

Analytics governance

Communication

Herramientas

Looker Studio

Google Cloud

Power BI

Descripción del empleo

Capgemini is seeking a Looker (with Gemini) Developer to modernize analytics platforms and enable self-service BI using Looker and Google Cloud. You will translate Power BI logic into scalable Looker models, develop semantic layers, and support AI-powered analytics while ensuring data governance across reporting environments.

You will collaborate with Data Engineers, Analysts, Product Owners, and Analytics teams to standardize metrics, align with enterprise data products, and drive migration