Job Description
- 9+ 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
Flexible work arrangements, Free spirit, and emotional positivityAgile self-determination, trust, transparency, and open collaborationAll Support needed for the realization of business goals,Stable employment with a great atmosphere and ethical corporate culture