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Data Engineer Analytics & BI Experience: 610 Years Key Skills Azure Data Factory (ADF) ETL/ELT Pipelines Azure Synapse Analytics / Azure Databricks / Microsoft Fabric SQL Server (Stored Procedures, Views, Performance Tuning) Power BI Dashboard Development & Reporting PowerShell Automation Power Automate Workflows Python & PySpark for Data Engineering and Data Transformation Responsibilities Design and develop scalable ETL/ELT pipelines using Azure Data Factory. Build enterprise-grade analytics solutions using Azure Synapse, Databricks, or Microsoft Fabric. Develop and optimize SQL scripts, stored procedures, and views. Create insightful Power BI dashboards and reports. Automate operational processes using PowerShell and Power Automate. Develop data transformation and orchestration workflows using Python/PySpark. Collaborate with business and technical teams to deliver reliable data solutions. Compensation: 511,040.69 - 1,873,124.22 per year Experience: Data Engineer: 6 years (Required) Analytics & BI: 3 years (Required) Azure Data Factory: 1 year (Preferred) Work Location: Remote Data Engineer Analytics & BI Experience: 610 Years Key Skills Azure Data Factory (ADF) ETL/ELT Pipelines Azure Synapse Analytics / Azure Databricks / Microsoft Fabric SQL Server (Stored Procedures, Views, Performance Tuning) Power BI Dashboard Development & Reporting PowerShell Automation Power Automate Workflows Python & PySpark for Data Engineering and Data Transformation Responsibilities Design and develop scalable ETL/ELT pipelines using Azure Data Factory. Build enterprise-grade analytics solutions using Azure Synapse, Databricks, or Microsoft Fabric. Develop and optimize SQL scripts, stored procedures, and views. Create insightful Power BI dashboards and reports. Automate operational processes using PowerShell and Power Automate. Develop data transformation and orchestration workflows using Python/PySpark. Collaborate with business and technical teams to deliver reliable data solutions. Compensation: 511,040.69 - 1,873,124.22 per year Experience: Data Engineer: 6 years (Required) Analytics & BI: 3 years (Required) Azure Data Factory: 1 year (Preferred) Work Location: Remote
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