26 days ago
Remote, MexicoSenior
Responsibilities
- Design and develop end-to-end data pipelines using Microsoft Fabric.
- Build pipelines with Data Factory, Lakehouse, Fabric Pipelines, Notebooks, and Real-Time Analytics.
- Develop semantic models, Power BI visualizations, and Copilot-enabled experiences.
- Create AI-enabled analytics solutions using prompt engineering and chat-with-data capabilities.
- Implement deployment and release automation for data solutions using Azure DevOps.
- Write and optimize complex SQL queries, troubleshoot data issues, and support downstream domain teams.
- Collaborate with business and technical stakeholders.
Requirements
- At least 5 years of experience as a data engineer, ETL engineer, or in a similar role.
- Experience with Microsoft Fabric and building and supporting data pipelines using its Data Factory, Lakehouse, Pipelines, Notebooks, and Real-Time Analytics components.
- Strong Power BI and semantic modeling experience, including scalable data models, reports, and business-facing dashboards.
- Practical experience with AI-enabled analytics solutions, prompt engineering, Copilot adoption, and chat-with-data capabilities.
- Hands-on Azure DevOps and Git experience, including branch management, deployment pipelines, and release automation.
- Advanced SQL and data engineering skills, including query optimization and data troubleshooting.
- Fluent English.
Benefits
- Meaningful projects using technology to solve real-world challenges.
- A collaborative, inclusive, and sustainability-focused work environment.
- The role can be performed from any state in Mexico.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.