Bachelor’s degree in Computer Information Services or a related field.
5 years of experience with enterprise data management, including hybrid and cloud environments.
Proficiency with the SQL Server core data engine, SSIS, PowerBI, Visual Studio, MS Office Products and source management tools (e.g., TFS, Git).
Proficiency with the following Microsoft Azure resources: Azure Data Lake Storage Gen2, Azure Data Factory, Azure Databricks, Azure SQL Database.
Excellent working knowledge of relational databases such as MS SQL Server or Azure SQL Database including but not limited to indexing best practices and designing and tuning stored procedures.
Experience observing change management and code promotion through non-production environments.
Experience in designing systems that use XML/XSLT and/or JSON.
Experience loading data stores ensuring processes are configurable, resilient, and performant.
Experience working and loading into Data Lake Medallion Architecture.
Ability to develop data translation objects and data processing flow using modern tools and adapt to new ones as they become available.
Proven ability to work independently to coordinate and solve highly complex technical data transformation issues. Ability to effectively communicate with customers to clarify data format requirements and negotiate compromise.
Requires effective communication and presentation skills. Demonstrates the ability to work and design for multiple projects.
Works under minimal supervision with wide latitude for independent judgment.