We are looking for an experienced Azure Data Engineer to design, build, and maintain scalable data solutions on Microsoft Azure. The ideal candidate will have strong hands-on experience with Azure data services, big data processing, and modern data engineering practices to support analytics and business intelligence initiatives. Key Responsibilities Data Engineering & Architecture Design, develop, and maintain end-to-end data pipelines on Azure Build scalable data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) Implement real-time and batch data ingestion using Event Hub Big Data & Data Processing Develop data transformation and processing logic using PySpark, Scala, and SQL Work with Delta Lake and other data storage formats Support data modeling, data warehousing, and big data platforms Data Integration & Governance Implement data integration solutions across multiple data sources Ensure data quality, data governance, and best practices are followed Optimize performance, reliability, and scalability of data pipelines Collaboration & Documentation Work closely with analytics, BI, and application teams Document data architectures, pipelines, and processes clearly Troubleshoot and resolve data-related issues efficiently