Data Engineer

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.