Data Engineer
Core
Designing, building, and optimizing scalable Microsoft Fabric-based data and analytics solutions, including ingestion, transformation, and AI-assisted application workflows.
Role type
Full Stack Data Engineer (Microsoft Fabric)
Builds
Enterprise-scale Lakehouse solutions, curated Gold-layer datasets, and data-driven applications.
Domain
Cloud Data Engineering & AI Integration
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Microsoft Fabric ecosystem, Azure Data Services, SQL, Python/PySpark, ETL/ELT pipeline development, Medallion Architecture, REST APIs, ReactJS, Git/CI/CD
Preferred skills
MCP (Model Context Protocol), Azure OpenAI integration, Azure Functions/Logic Apps, Event Hubs, Microsoft Purview, Cosmos DB, Power BI semantic models
Technologies
Microsoft Fabric, OneLake, Delta Lake, Azure Data Factory, Azure SQL, ADLS Gen2, Blob Storage, PySpark, ReactJS, GitHub Copilot
Responsibilities
Design and maintain scalable Lakehouse solutions using Medallion Architecture; Develop and manage pipelines using Fabric Data Factory and Spark workloads; Build ingestion and transformation workflows for structured and semi-structured data; Integrate Fabric-based data platforms with APIs and enterprise applications; Develop and optimize PySpark notebooks and SQL queries for data transformation; Implement RBAC, data quality validations, and governance best practices.
Seniority
Mid-Senior, hands-on IC
