Looker Developer

🔥 16 hours ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 12%

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Logo of Capgemini

Capgemini

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 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 • 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

🎯 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

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