Data Engineer
QuEST Global
Job Requirements
Develop and maintain scalable data pipelines using Microsoft Fabric.
• Work with OneLake, Dataflows Gen2, and Lakehouse architectures.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across platforms.
• Optimize data workflows and troubleshoot performance issues.Migration from Azure Platform to Microsoft Fabric
Work Experience
Proven experience as a Data Engineer or similar role, with a minimum of 5-6 years.
• Strong hands-on knowledge of Microsoft Fabric components and experience in migration from Azure Platform to Microsoft Fabric• Proficiency in SQL, Python, and Power BI.
• Experience with Azure Data Services (e.g., Azure Data Factory, Synapse Analytics).
• Solid understanding of ETL/ELT processes, data modeling, and data governance.
• Strong analytical and problem-solving skills.
• Good Communication skills.
Develop and maintain scalable data pipelines using Microsoft Fabric.
• Work with OneLake, Dataflows Gen2, and Lakehouse architectures.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality, integrity, and security across platforms.
• Optimize data workflows and troubleshoot performance issues.Migration from Azure Platform to Microsoft Fabric
Work Experience
Proven experience as a Data Engineer or similar role, with a minimum of 5-6 years.
• Strong hands-on knowledge of Microsoft Fabric components and experience in migration from Azure Platform to Microsoft Fabric• Proficiency in SQL, Python, and Power BI.
• Experience with Azure Data Services (e.g., Azure Data Factory, Synapse Analytics).
• Solid understanding of ETL/ELT processes, data modeling, and data governance.
• Strong analytical and problem-solving skills.
• Good Communication skills.
PREFERRED QUALIFICATIONS
• Microsoft certifications in Azure Data Engineering or Microsoft Fabric.
• Experience with CI/CD pipelines, DevOps, or machine learning workflows.
• Familiarity data fabric concepts.
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