Microsoft Fabric Developer Power BI & Fabric Data Engineer

Skill: Microsoft Fabric Developer - Power BI & Fabric Data Engineer

Must Have Technical/Functional Skills:

Microsoft Fabric Platform Knowledge.

Understanding of Fabric architecture (OneLake, DirectLake, Lakehouse, Warehouse, etc.).

Hands-on with OneLake and understanding of how it is organized, including workspaces, shortcuts, file formats (Parquet, Delta) and the ability to mount different sources.

Experience with data items like Dataflows Gen2, Pipelines, Notebooks, and Semantic Models.

Familiarity with Fabric capacities and licensing.

Configuration and management of spark workloads, including node size differences, high concurrency, and scaling.

Roles & Responsibilities:

Data Engineering:

Experience with Lakehouses and Notebooks (PySpark, SQL) to perform transformations and cleansing.

Data ingestion and transformation using Pipelines (similar to Azure Synapse and ADF): joins, filters, aggregations, UDFs.

Handling large-scale data sets efficiently.

Knowledge of Delta Lake format and how to build delta tables.

Use of data orchestration to drive metadata driven ingestions.

Data Integration & ETL/ELT:

Working with Dataflows Gen2 and Pipelines.

Configuring pipeline triggers, activities, dependencies, and monitoring.

Connectors to various sources (Azure SQL, Blob Storage, Dynamics 365, Salesforce, etc.).

Scheduling and monitoring data refreshes.

Power BI:

Building reports and dashboards.

Data modeling using DAX and Power Query (M language).

Semantic modeling and dataset management.

Row-level security implementation.

Azure Ecosystem Experience:

Azure Data Lake, Synapse Analytics, Azure SQL Database.

Azure Active Directory and security model integration.

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