Data Engineer

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Technical/Functional Skills Cube; Azure data factory; Synapse; SQL Server; Data bricks; Azure Storage; Digital : Microsoft Power BI Experience Required 8+ Years Roles & Responsibilities Design, develop, and maintain data pipelines using Azure Data Factory for data ingestion, transformation, and loading. Develop and optimize data models and cubes using technologies such as SQL Server Analysis Services (SSAS) and Azure Synapse Analytics. Implement and manage data processing workflows in Azure Synapse to support analytics and reporting requirements. Utilize SQL Server for data manipulation, querying, and performance tuning. Leverage Azure Databricks for big data processing and analytics tasks. Implement and manage data storage solutions using Azure Storage services. Develop interactive reports and dashboards using Microsoft Power BI to provide actionable insights to stakeholders. Collaborate with cross-functional teams including data scientists, business analysts, and software engineers to understand data requirements and deliver scalable solutions. Provide technical guidance and mentorship to junior team members. Stay current with emerging technologies and industry trends related to data engineering and analytics.
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Location:
Redmond

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