Tech Lead - Microsoft Fabric Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we're a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire Microsoft Fabric Professionals in the following areas :

Experience

8 Yrs to 10 Yrs

Job Description

• 8+ years of experience in Microsoft Azure Data Engineering for analytical projects.
• Proven expertise in designing, developing, and deploying high-volume, end-to-end ETL pipelines for complex models, including batch, and real-time data integration frameworks using Azure, Microsoft Fabric and Databricks.
• Extensive hands-on experience with Azure Data Factory, Databricks (with Unity Catalog), Azure Functions, Synapse Analytics, Data Lake, Delta Lake, and Azure SQL Database for managing and processing large-scale data integrations.
• Experience in Databricks cluster optimization and workflow management to ensure cost-effective and high-performance processing.
• Sound knowledge of data modelling, data governance, data quality management, and data modernization processes.
• Develop architecture blueprints and technical design documentation for Azure-based data solutions.
• Provide technical leadership and guidance on cloud architecture best practices, ensuring scalable and secure solutions.
• Keep abreast of emerging Azure technologies and recommend enhancements to existing systems.
• Lead proof of concepts (PoCs) and adopt agile delivery methodologies for solution development and delivery.

Certifications

Mandatory

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles

Skills Required

Data Modelling, Azure Data Factory, Azure Functions, Data Governance, Data Lake, Databricks