Key Responsibilities:

Analyse, Design and build modern data solutions using Microsoft Fabric.
Explore exiting implementation and determine the impact of new change on existing applications.
Extract Transform and Load data from different sources to Microsoft Fabric OneLake/Lakehouse/Warehouse.
Create Notebooks, Dataflow Gen2 & pipelines in Microsoft Fabric.
Create semantic models and write relational database queries
Develop and deploy comprehensive data analytics solutions in Microsoft Fabric, ensuring scalability and performance.
Utilize deep knowledge of Lakehouse architecture to manage and store vast amounts of structured and unstructured data efficiently.
Write clean, efficient, and optimized Python code in Notebooks to perform complex data transformations and manipulation tasks.
Work with PySpark to handle and process large volumes of data, ensuring optimal performance in Spark environments.
Design, develop, and implement end-to-end Power BI solutions on Microsoft Fabric, including dashboards, reports, and data visualizations.
Leverage knowledge of CI/CD pipelines in Azure DevOps to automate deployment processes and ensure smooth integration of solutions into production environments.
Create and manage ETL pipelines in Microsoft Fabric to streamline data processing, extraction, transformation, and loading across various data sources.

Minimum Skills Required:

Qualification:

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