Data Engineer developing data pipelines and ETL processes for Stefanini's data architecture modernization. Involves data migration from AS400 to Microsoft Fabric Lakehouse.
About the role
- Senior Azure Cloud Data Engineer designing and implementing data platforms on Azure for b.telligent. Collaborating across project phases and advising clients on analytics in a hybrid work environment.
Responsibilities
- Design and implement modern data platforms on Microsoft Azure
- Work across all Azure project phases: requirements gathering, implementation, and go-live
- Build and optimize data models and data pipelines using Azure Data Services
- Advise clients on analytics, data management, and integration solutions
- Support business development and deliver workshops and webinars
- Develop ETL processes in Azure Data Factory
- Configure and manage Synapse Analytics / Microsoft Fabric / Databricks workspaces
- Implement data governance and security measures
- Optimize performance for large-scale data processing
Requirements
- Several years of experience in data engineering and BI solutions, preferably in a consulting environment
- Strong knowledge of Azure Data Services (e.g., Synapse, Data Factory, Microsoft Fabric, Databricks)
- Expertise in relational databases and cloud architectures (DWH/Data Lake)
- Very good command of English
Benefits
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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