Data Engineer

Organization Description:Jaipur Rugs is a social enterprise that connects rural craftsmanship with global markets through its luxurious handmade carpets. It is a family-run business that offers an exclusive range of hand-knotted and hand-woven rugs made using 2500 years old traditional art forms. The founder, Mr. Nand Kishore Chaudhary created a unique business model, which provides livelihood to the artisans at their doorstep. This changed the standard practice of involving middlemen to work with artisanal communities. The company currently has a network of over 40,000 artisans spread across 600 rural Indian villages in five states of India. It has an end-to-end business model, right from sourcing of wool to exporting a finished handmade rug.The modern and eclectic collection of rugs, made using the finest wool and silk, has won numerous global awards and is currently exported to more than 45 countries with the US sales arm, Jaipur Living, Inc. located in Georgia, Atlanta.Job Description:The specific responsibilities of the position holder will be (though not restricted to) the following:The Data Engineer will be responsible for building and maintainingend-to-end data pipelines for analytics solutions , leveraging Microsoft Fabric to integrate Business applications to Jaipur Living BI platform Build and maintain end-to-end data pipelinesacross business application and BI platform Develop and implement solutions on theMS Fabric platform to support a modern enterprise data platform by implementing Kimball Data Lakehouse(Fact and Dim) Design, develop, and implementanalytics solutions on MS Fabric and PowerBI Develop ETL/ELT processesfor large-scaledata ingestion, ensuring data quality and pipeline performance Transform and model data to meet business requirements, loading it into Fabric Data Lakehouse (bronze, silver, gold layers) Implement monitoring and error handlingprocesses for reliable data integration Optimize pipelinesfor cost and performance through query tuning, caching, and resource management Automate repeatabledata preparation tasks to reduce manual processes Provide troubleshooting, analysis, andproduction support for existing solutions , including enhancements Integrate GitHub for artifact management and versioning Continuous Improvement– Identifies opportunities, generates ideas, and implements solutions to improve processes and conditionsSkills Minimum of 5 yearsof hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions Hands-on experience with Microsoft Fabric fordata pipelines ,Gen2 Data Flows ,Activity optimization ,Data Modeling , andanalytics Proficiency withMicrosoft Fabric data services,includingAzure Synapse Analytics and Dataverse Strong SQL, data modeling, and ETL/ELT development skills Experience working within a scaled agile framework for data engineering product delivery 4+ years of experience with ETL and cloud data technologies, includingAzure Data Lake ,Azure Data Factory ,Azure Synapse ,Azure Functions ,Azure Data Explorer , andPower BI(or equivalent platforms) andGoogle Big Query 4+ years of experience in big data scripting languages such asPython, or SQL 4+ years of experience in one scripting language fordata retrieval and manipulation (e.g., SQL) Strong SQL, data modeling, data warehouse, and OLAP concepts Experience with Azure Data Lake Storage, Azure Synapse Analytics, Fabric Spark Pools, Fabric Notebooks, Python, DevOps, and CI/CD Familiarity withdata lake medallion architectureand unified data models for BI platform Familiarity withScaled Agile, DevOps, Scrum, and ITIL concepts Retail experience will be a plus WMS, ERP, CRM, PIM, Google Analytics experience is a plus Microsoft Dynamics ERP experience is a plus Experience with Fabric AI services will be a plus