Data Engineer
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Job Description
Azure Fabric Data Engineer designing and optimizing analytical solutions within Microsoft Fabric ecosystem. Enabling scalable, secure, and AI-ready data infrastructure for business intelligence and reporting.
Responsibilities:
- Design and implement data pipelines using Azure Data Factory, Synapse Pipelines, Fabric Notebooks, and dbt (data build tools)
- Develop and manage Fabric Warehouses and Lakehouses, ensuring schema compatibility, performance, and compliance
- Integrate data across cloud and on-prem sources, including SQL Server, Azure Blob, REST APIs, and third-party systems
- Configure linked services and authentication using service principals, managed identities, and secure credential stores (e.g., Azure Key Vault)
- Enable AI-readiness by preparing semantic models, marking artifacts as 'Ready for AI,' and supporting Copilot integration
- Optimize data storage and compute using Fabric capacities, partitioning strategies, and workload management
- Implement governance and security controls, including Purview integration, sensitivity labels, and RBAC
- Collaborate with data scientists, BI developers, and compliance teams to deliver reproducible, scalable solutions
- Monitor and troubleshoot pipelines, warehouse performance, and workspace configurations using Fabric Admin Portal and telemetry tools
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field or experience deemed relevant
- 3+ years of experience in cloud data engineering, preferably in Azure
- Strong proficiency in T-SQL, Python, and Spark
- Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, and dbt (Data build tools)
- Deep understanding of data modeling, ETL/ELT, and semantic layer design
- Familiarity with Copilot, AI model integration, and vector search
- Experience with Azure Key Vault, Entra ID, and service principal authentication
- Knowledge of data governance frameworks (e.g., Purview, GDPR, HIPAA)
- Ability to work in cross-functional teams and communicate technical concepts clearly
Benefits:
- Remote based
- Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job responsibilities
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