- 8+ years of overall technical experience with at least 2 years working hands-on with Microsoft Fabric, preferably coming from Azure Databricks/Synapse background.

- Experience of leading at least 2 end to end Data Lakehouse project on MS Fabric involving Medallion Architecture.

Deep expertise in the Fabric ecosystem, including :

- Data Factory, Notebooks, Pyspark, Delta Live Tables, Dataflow Gen2, Shortcuts, Fabric Lakehouse/ Warehouse, Copy Job, Mirroring, Event stream, KQL database, Fabric SQL DB, Semantic model (optional), Fabric Data Agent.

- Experience integrating data as well as modernizing data from on-prem, Cloud, Web services, API, File sources : ADLS Gen2, SQL Database, Synapse, Event Hub, SFTP, Salesforce, Dynamics 365, Azure Synapse etc.

- Experience of designing and developing metadata-driven frameworks (relevant for Data Engineering processes).

- Strong programming, debugging, and performance tuning skills in Python and SQL.

- Strong architectural understanding of Fabric workloads with pros/cons/cost awareness around proposing the right component.

- Good experience with setting up Fabric Workspace, Access provisioning, Capacity management/cost control.

- Good Experience of Data modeling (both Dimensional and 3-NF).

- Good Exposure to developing LLM/GenAI-powered applications.

- Sound understanding of CI/CD processes using Azure DevOps & Fabric Deployment pipelines.

- Exposure to technologies like Neo4j, Cosmos DB, and vector databases is desirable.