• Design and implement data platform architectures and integrations in cloud environments, focusing on Microsoft Azure services.
• Develop scalable data solutions using tools like Databricks, Azure Synapse, Azure Functions, Power BI, and Azure Data Factory.
• Create and optimize ETL processes, data pipelines, and robust data models to support analytics and business intelligence initiatives.
• Work with tools like Power BI Embedded, SQL Server, and Cosmos DB, among other cloud-based data solutions.
• Collaborate with cross-functional teams using Agile methodologies to deliver high-quality data projects.
• Lead and execute successful data migration projects, particularly involving transitions from on-premises systems to the cloud.
• Implement DevOps practices such as CI/CD pipelines and automated testing for data-driven applications.
• Effectively communicate complex technical concepts to non-technical stakeholders to align business and technical requirements.

We are seeking a skilled and experienced Data Engineer. This role involves designing, building, and maintaining scalable data platforms, pipelines, and solutions within a cloud-based environment. You will play a critical role in the client’s organization's data strategy, leveraging modern technologies to enable efficient data processing and analytics.