Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric.
Build reliable ETL/ELT processes for structured and unstructured data.
Work with business teams to understand data requirements and translate them into technical
Optimize data processing workflows for performance, scalability, and cost.
Apply AI-assisted development tools and modern engineering practices to improve delivery speed and
Troubleshoot production issues and proactively identify improvements.

🎯 Requirements

5+ years of hands-on experience as a Data Engineer.
Strong experience with Microsoft Azure Fabric, Databricks, and Azure data services.
Solid knowledge of SQL and data modeling concepts.
Experience building enterprise-grade data pipelines and data integration solutions.
Proficiency in Python, Spark, or similar technologies.
Experience working with cloud-based data platforms in production environments.

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