Job Description
<p><span style="font-size:11pt"><span style="font-family:Calibri,sans-serif"><b><span style="font-size:12.0pt"><span style="background:yellow">Role: Azure Data Engineer<br />
Location: Bellevue, WA<br />
Duration: 6 months</span></span></b><br />
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<span style="font-size:12.0pt">Azure Data Engineer Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi,Azure OpenAI<br />
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Role Descriptions: Unified Analytics PlatformWork across Fabric workloads: Data Factory (ETL)| Synapse Data Engineering (Spark)| Synapse Data Warehousing (SQL)| and OneLake for storage.Data Loading & ArchitectureDesign data loading patterns| lakehouse architectures| and orchestration processes for enterprise-scale analytics. Data Preparation & EnrichmentPrepare and enrich data for analysis| ensuring data quality and consistency checks.Implement semantic models for BI and self-service analytics.Security & ComplianceSecure and manage analytics assets| enforce governance policies| and monitor compliance using Microsoft Purview and Managed Identity.Performance & OptimizationMonitor and optimize Fabric pipelines and workloads for cost efficiency and high availability. Collaboration & Stakeholder EngagementWork closely with architects| analysts| and business teams to translate requirements into scalable solutions.Enable Power BI integration for visualization and reporting.Data Integration & OrchestrationBuild and manage data pipelines using Azure Data Factory (ADF) and Synapse pipelines for batch and incremental ingestion.Automate ETL workflows and implement parameterized pipelines for scalability.Data Transformation & ModelingDevelop PySpark notebooks and SQL scripts to clean| transform| and convert raw files into optimized formats (Parquet/Delta).Create views| stored procedures| and dimensional models for reporting and analytics.Performance OptimizationMonitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks.Implement workload management strategies for query performance and resource governance.Security & GovernanceApply role-based authentication| encryption/decryption logic| and compliance controls.Automate governance tasks to reduce manual intervention.Reliability & MonitoringBuild failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution.<br />
Essential Skills: Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power BiAzure OpenAI<br />
Desirable Skills:<br />
Keyword:<br />
Skills: Digital : Python~Digital : Microsoft Power BI~Microsoft Fabric</span></span></span></p>
Location: Bellevue, WA<br />
Duration: 6 months</span></span></b><br />
<br />
<br />
<span style="font-size:12.0pt">Azure Data Engineer Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power Bi,Azure OpenAI<br />
<br />
Role Descriptions: Unified Analytics PlatformWork across Fabric workloads: Data Factory (ETL)| Synapse Data Engineering (Spark)| Synapse Data Warehousing (SQL)| and OneLake for storage.Data Loading & ArchitectureDesign data loading patterns| lakehouse architectures| and orchestration processes for enterprise-scale analytics. Data Preparation & EnrichmentPrepare and enrich data for analysis| ensuring data quality and consistency checks.Implement semantic models for BI and self-service analytics.Security & ComplianceSecure and manage analytics assets| enforce governance policies| and monitor compliance using Microsoft Purview and Managed Identity.Performance & OptimizationMonitor and optimize Fabric pipelines and workloads for cost efficiency and high availability. Collaboration & Stakeholder EngagementWork closely with architects| analysts| and business teams to translate requirements into scalable solutions.Enable Power BI integration for visualization and reporting.Data Integration & OrchestrationBuild and manage data pipelines using Azure Data Factory (ADF) and Synapse pipelines for batch and incremental ingestion.Automate ETL workflows and implement parameterized pipelines for scalability.Data Transformation & ModelingDevelop PySpark notebooks and SQL scripts to clean| transform| and convert raw files into optimized formats (Parquet/Delta).Create views| stored procedures| and dimensional models for reporting and analytics.Performance OptimizationMonitor Dynamic Management Views (DMVs) in Synapse to analyze system health and reduce bottlenecks.Implement workload management strategies for query performance and resource governance.Security & GovernanceApply role-based authentication| encryption/decryption logic| and compliance controls.Automate governance tasks to reduce manual intervention.Reliability & MonitoringBuild failure monitoring systems integrated with Logic Apps for alerting and proactive issue resolution.<br />
Essential Skills: Synapse; Fabric; SQL Server; Python; Azure Storage; ADF; Power BiAzure OpenAI<br />
Desirable Skills:<br />
Keyword:<br />
Skills: Digital : Python~Digital : Microsoft Power BI~Microsoft Fabric</span></span></span></p>
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