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Design and implement scalable data architectures using Azure services, especially Azure Data Factory. Build, deploy, and maintain data pipelines for structured and unstructured data. Lead the integration of Microsoft Fabric into enterprise data solutions. Collaborate with data scientists to operationalize AI/ML models and embed them into business processes. Ensure data governance, security, and best practices across the entire data lifecycle. Partner with cross-functional teams to translate business needs into technical solutions.
Job Responsibility:
Design and implement scalable data architectures using Azure services, especially Azure Data Factory
Build, deploy, and maintain data pipelines for structured and unstructured data
Lead the integration of Microsoft Fabric into enterprise data solutions
Collaborate with data scientists to operationalize AI/ML models and embed them into business processes
Ensure data governance, security, and best practices across the entire data lifecycle
Partner with cross-functional teams to translate business needs into technical solutions
Requirements:
Proven experience as a Data Engineer, Data Architect, or similar role
Strong expertise in Azure Data Factory, Azure Synapse, Databricks, or equivalent tools
Hands-on experience with Microsoft Fabric (OneLake, Data Engineering, Real-Time Analytics, etc.)
Solid understanding of AI/ML concepts, including model deployment and lifecycle management
Proficiency in Python, SQL, and data modeling
Deep knowledge of data governance, metadata management, and security standards
Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders
Nice to have:
Microsoft certifications (e.g., Azure Data Engineer, Azure Solutions Architect)
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