U.S. Bank is seeking a full-time Data Engineer (Multiple openings) in Chicago, IL. The role involves designing, developing, and managing ETL processes using Azure Data Factory (ADF) to efficiently load data from diverse sources into Azure Data Storage. The Data Engineer will administer and optimize large-scale data processing using Azure Databricks and SparkSQL, ensuring high performance and scalability. Responsibilities also include implementing and maintaining data storage solutions utilizing Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database, as well as designing and implementing data migration strategies from on-premises systems to Azure. The position requires developing and refining HiveQL and SQL queries to enhance data retrieval and processing efficiency in Azure environments, monitoring and managing Hadoop clusters, and implementing DevOps practices for continuous integration and deployment (CI/CD) in big data environments. Ensuring data security and compliance by implementing best practices in data governance, encryption, and access control within Azure environments is also a key responsibility.