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.
Rol
- Microsoft Azure Data Factory
- Data Fabric data engineering Description and Location
- Design and develop data pipelines and models using Microsoft Fabric and OneLake, with a strong focus on interoperability and performance using columnar formats like Parquet and efficient serialization formats like Protobuf.
- Collaborate with cross-functional teams (Product Owners, Azure Solution Architects, Data & Software Engineers) to drive a Fabric-native data platform that integrates seamlessly with Power BI.
- Enable modern data architecture patterns, including Lakehouse, near real-time streaming, schema evolution,
and efficient serialization in messaging and APIs.
- Maintain and automate scalable data pipelines, emphasizing performance, metadata consistency, and optimal use of storage formats such as Parquet within the Microsoft ecosystem.
- Champion DevOps practices, implementing CI/CD pipelines (via Azure DevOps or GitLab Pipelines) and Infrastructure-as-Code for consistent, secure deployment of Fabric-based solutions.
- Monitor and optimize platform performance using observability tools, ensuring health, reliability, and cost-efficiency.
- Drive cloud migration and modernization efforts, guiding the transition to Microsoft Azure and Fabric, ensuring format and schema
Profile
- Microsoft Azure
- Microsoft Fabric
- OneLake
- Azure Data Factory (ADF)
- Data pipelines
- Data modeling
- Azure DevOps / GitLab Pipelines
- CI/CD
- Infrastructure
- Fully based on Microsoft Fabric
- Integrated with Power BI
- Optimized for
📌 Data Platform Engineer (Aguascalientes)
🏢 Capgemini
📍 Aguascalientes
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