Key Responsibilities:
* Design and develop end-to-end data solutions using Microsoft Fabric components (Data Factory, Synapse Data Engineering, Data Warehouse, Real-Time Analytics).
* Build scalable and efficient ETL/ELT pipelines for structured and unstructured data.
* Develop and maintain data models, lakehouses, and warehouses.
* Integrate data from multiple sources including APIs, databases, and cloud platforms.
* Optimize data processing performance and ensure data quality and reliability.
* Implement data governance, security, and compliance best practices.
* Collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions.
* Monitor, troubleshoot, and enhance existing data workflows.
* Automate workflows and deployments using CI/CD pipelines.
Required Skills & Qualifications:
* 10+ years of experience in data engineering or related roles.
* Strong hands-on experience with Microsoft Fabric.
Expertise in:
* Azure Data Services (Azure Data Factory, Azure Synapse, ADLS)
* SQL and data modeling techniques
* PySpark for data processing
* Experience with Spark and distributed data processing frameworks.
* Knowledge of data warehousing concepts and architectures.
* Familiarity with real-time data streaming technologies.
* Experience with Power BI integration is a plus.
* Strong problem-solving and analytical skills.
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