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YASH Technologies, Inc. is seeking an experienced Data & Analytics Engineer to design, develop, and support enterprise analytics solutions using Power BI, Snowflake, and AI technologies.
The role involves building and optimizing data pipelines, developing dashboards and semantic models, and leveraging AI capabilities for business insights. The ideal candidate will have 7+ years of experience, strong expertise in Power BI development and administration, Snowflake development, Python/PySpark, and
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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.
Experience: 7 + Years
We are looking for an experienced Data & Analytics Engineer to design, develop, and support enterprise analytics solutions using Power BI, Snowflake, and AI technologies. The role involves building and optimizing data pipelines, developing dashboards and semantic models, integrating AI-generated data into Snowflake, and leveraging AI/ML capabilities for business insights. The ideal candidate will have strong expertise in Power BI Development and administration, Snowflake development, Python/PySpark(Basic), and emerging AI platforms such as Microsoft Copilot, ChatGPT, Snowflake CoCo, Claude etc. Additionally, the candidate will provide technical guidance, troubleshoot data and reporting issues, and collaborate with business stakeholders to deliver scalable analytics solutions.
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.