Module Lead - Microsoft Fabric

As a Microsoft Fabric Professional at YASH Technologies, you will be responsible for working with cutting-edge technologies to bring about real positive changes in an increasingly virtual world. You will have the opportunity to contribute to business transformation by leveraging your experience in Azure Fabric, Azure Data factory, Azure Databricks, Azure Synapse, Azure Storage Services, Azure SQL, ETL, Azure Cosmos DB, Event HUB, Azure Data Catalog, Azure Functions, and Azure Purview. With 5-8 years of experience in Microsoft Cloud solutions, you will be involved in creating pipelines, datasets, dataflows, Integration runtimes, and monitoring Pipelines. Your role will also entail extracting, transforming, and loading data from source systems using Azure Databricks, as well as preparing DB Design Documents based on client requirements. Collaborating with the development team, you will create database structures, queries, and triggers while working on SQL scripts and Synapse pipelines for data migration to Azure SQL. Your responsibilities will include data migration pipeline to Azure cloud, database migration from on-prem SQL server to Azure Dev Environment, and implementing data governance in Azure. Additionally, you will work on data migration pipelines for on-prem SQL server data to Azure cloud, along with utilizing Azure data catalog and experience in Big Data Batch Processing Solutions, Interactive Processing Solutions, and Real-Time Processing Solutions. To excel in this role, mandatory certifications are required. At YASH Technologies, you will have the opportunity to create a career path tailored to your aspirations within an inclusive team environment. Our Hyperlearning workplace is built on principles of flexible work arrangements, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, support for business goals realization, stable employment, and ethical corporate culture. Join us to embark on a journey of continuous learning, unlearning, and relearning in a dynamic and evolving technology landscape.,