Together with the team, you work in an agile way to set up and manage data warehouses, data lakes, and data analytics applications.

Role in the team

• Contribute to building a new Microsoft Azure Cloud PaaS responsible for Data Analytics and Data Warehousing applications
• Detect and analyze issues and develop solutions
• Document existing and new applications and integrations
• Participate in IT projects with internal and external partners
• Provide support for other applications such as data warehouses (Oracle, ODI) and Tableau

Ideal Profile

• Analyzing large volumes of data while maintaining a clear overview comes naturally to you
• Able to work independently, with vendors, or within a project team; you adapt your approach and communication depending on the context
• Proactive mindset with the ability to take initiative
• Strong knowledge of the Microsoft Azure Cloud ecosystem, including Infrastructure as Code (Terraform), Python, Azure Kubernetes, storage account concepts, Azure data platforms (Databricks), Virtual Machine troubleshooting, and Azure automation
• Knowledge of Linux scripting, dbt, Airflow orchestration, custom RBAC roles, Oracle DBMS, ODI, or Tableau is a plus
• At least 3 years of experience in a DevOps engineering environment