COMPANY :
As a Data Engineer, you will join a project team of 7 people dedicated to reducing technical debt and redesigning the BI platform. Your mission is to transform legacy data flows into a modern, scalable, and high-performing decision-making architecture on Azure.
Job :
- Audit and mapping: Analyze the existing system (SSIS, SSRS, SSAS, on-premise SQL Server databases) and define the target migration strategy.
- Data Migration: Design and implement data pipelines in Azure Data Factory.
- BI Modernization: Migrate on-premise data models to Azure SQL Database and Azure Synapse/Fabric.
- Cloud Architecture: Participate in setting up data governance and security within the Azure ecosystem.
- Industrialization: Implement automation practices (Infrastructure as Code, CI/CD for Data).
- Collaboration: Work closely with .NET developers (for API integration) and the DevOps expert.
Required profile :
Graduated from higher education with a Bac+5 level or higher in computer science, with up to 4 years of experience in a similar role.
Technical skills:
- Microsoft BI Expertise: Advanced mastery of the SQL Server ecosystem (SSIS, SSRS, SSAS).
- Development: Complex SQL, T-SQL, and ideally Python or C# for data transformations.
- Methodology: Experience with Agile/Scrum, Git, and DevOps principles applied to data.
Soft Skills:
- Ability to analyze complex existing systems (technical debt).
- Ability to propose architecture choices.
- Good communicator: able to explain technical choices to the Project Manager and business stakeholders
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