Azure with Fabric

Primary Skill – Fabric

Secondary Skill – Azure

Client Interview – Yes / No : Yes

Total Exp – 10+ in Azure,2+ in Fabric

Notice Period –

Immediate to 4 weeks

Job Location – Are we flexible for other locations ?

Yes

Requirement :

Need hands-on experience in Fabric data engineering, nature of work is to do POCs on Fabric for migrating existing Azure workloads to Fabric (One lake is the at play here)

JD :

Design and implement POCs for migrating Azure workloads (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake) to Microsoft Fabric.

Leverage

OneLake

as the unified data storage layer and explore its integration with existing pipelines.

Develop and optimize data ingestion, transformation, and orchestration workflows using Fabric-native services.

Collaborate with architecture and platform teams to evaluate performance, scalability, and cost-efficiency of Fabric-based solutions.

Document migration strategies, performance benchmarks, and lessons learned from POC implementations.

Required Skills :

Hands-on experience with

Microsoft Fabric , including

Data Engineering ,

Data Factory , and

Direct Lake

features.

Strong understanding of

OneLake

architecture and its role in unified data storage.

Proficiency in Azure data services (ADF, Synapse, ADLS, Azure SQL, etc.) and experience migrating workloads from Azure to Fabric.

Familiarity with

Power BI ,

Delta Lake , and

lakehouse

concepts.

Experience with scripting (e.g., Python, PowerShell) for automation and orchestration is a plus.

Preferred Qualifications :

Experience working on enterprise-scale data platforms and cloud migration projects.

Exposure to

Databricks ,

AI / ML integration , or

real-time analytics

within Fabric is advantageous.

Strong communication and documentation skills to support cross-functional collaboration.