Experience must include a minimum of: 5 years of experience with performance tuning, optimizing database performance for ETL workloads using Microsoft business intelligence tools and SQL Server; 5 years of experience with creating dashboards, reports and data visualizations using Microsoft Power BI; 3 years of experience with Azure DevOps for TFS source control and release deployment; 2 years of experience with job automation for repetitive tasks, AWS and/or Azure Services, SQL, Python, PowerShell; and 2 years of experience with managing deployment and identifying and fixing data discrepancies. Position requires a Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related STEM field, followed by 5 years of progressively responsible experience with data pipelines, solving complex business problems, understanding business requirements and creating data engineering solutions.