We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures, databases. The ideal candidate will have hands-on experience in Azure Data Factory (ADF), Azure Synapse, and SQL, and will support reporting teams by ensuring reliable, curated datasets are available for downstream analysis. Key Responsibilities: Design, develop, and manage scalable data pipelines to ingest and transform data from multiple source systems using Azure Data Factory (ADF) and Synapse Analytics. Build and maintain data integration workflows that enable downstream analytics, ensuring data is clean, consistent, and timely. Partner with power bi developer and analysts within team and cross functional to develop data models optimized for reporting and machine learning. Implement data validation and quality checks to detect anomalies or pipeline failures early, ensuring high data reliability. Maintain and improve existing ETL frameworks, enabling incremental data loads, performance tuning, and reusability of components. Collaborate with the Power BI development team to ensure data availability in curated formats that support self-service analytics. Write and maintain advanced SQL scripts, stored procedures, and views to transform and manipulate large datasets efficiently. Monitor pipeline performance and implement logging, alerting, and retry mechanisms to handle failures. Stay updated on Azure tools and recommend newer approaches (e.g., Dataflows, Delta Lakes) where beneficial. Show more Show less