Data Engineer PositionOverviewWe are seeking a Data Engineer to design and implement data acquisition and ETL processes in Microsoft Azure. The ideal candidate will be responsible for integrating multiple technical datasets into a central Azure SQL Database, ensuring cleansed, reliable, and query-ready data is available for downstream dashboards.Key Responsibilities:Build and maintain ETL pipelines in Azure Data Factory to automate ingestion from APIs, files, and vendor systems.Develop and optimize SQL stored procedures, scheduled jobs, and views in Azure SQL Database.Apply data governance and quality checks to ensure dataset accuracy and consistency.Collaborate with technical staff and SMEs to document sources, transformations, and dependencies.Support Power BI developers by delivering clean, structured datasets.Required Skills:Strong experience with Microsoft Azure (Data Factory, SQL Database, Blob/Data Lake).Advanced SQL (stored procedures, scheduled jobs, indexing, views).Proven ETL development experience (batch + scheduled pipelines).Solid understanding of data governance, lineage, and quality frameworks.Familiarity with Power BI data models (not visualization).Benefits:Opportunity to work on enterprise-scale reporting systems.Fully remote role based out of Brazil.Short-term but impactful contract.Other Opportunities:Work alongside skilled professionals and contribute to meaningful projects.Prior exposure to healthcare IT data (helpful, but not required).