Data Engineer (King of Prussia)

About the CompanyThe Data Engineer plays a crucial role in designing, developing, and maintaining scalable data pipelines and architectures using Microsoft tools, significantly contributing to the organization's data strategy and broader goals.About the RoleThis role involves implementing ETL processes to ensure data accuracy and availability, optimizing data workflows for performance, and providing guidance on visualization tools like Power BI.ResponsibilitiesMonitoring and troubleshooting data pipeline issuesDeveloping comprehensive documentationStaying updated with the latest trends in data engineeringQualificationsBachelor's in computer science, data engineering, statistics, mathematics, or related fields5 years in data visualization, data mining, and analysis using Power BIProven experience as a Data Engineer, with a focus on Microsoft FabricRequired SkillsAbility to write complex SQL queriesExperience with Azure DevOps Git for version controlMicrosoft tools experienceUnderstanding of data governance and security best practicesPreferred SkillsExperience creating data pipelines within Fabric workspace to transfer transformed data from Lakehouse to warehouse tables within Fabric workspaceProficiency in programming languages such as Python, Java, or ScalaFamiliarity with cloud platforms such as AzureExperience with CI/CD pipelines and automation tools