The individual will develop and maintain scalable data pipelines and integrations to manage increasing data volumes. They will perform extraction, transformation, and loading tasks while collaborating with stakeholders to address complex data requirements. The role involves monitoring data performance, identifying system bottlenecks, and modifying infrastructure to ensure efficiency. Additionally, the professional will implement measures to maintain data accuracy, quality, and accessibility. They are expected to work within an agile team environment to solve problems and improve existing systems.

The role requires six to nine years of experience in data engineering. Candidates must possess technical proficiency in Microsoft Fabric, Azure Data Stack, Databricks, Python, and SQL. Expertise in Azure Data Factory, Azure Functions, Azure DevOps, CI/CD pipelines, and data modelling is necessary. Furthermore, a solid understanding of Infrastructure as Code is required to perform the duties of the position.