Data Engineer

Organization Description:

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.

• The Data Engineer will be responsible for building and maintaining

  end-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 pipelines

  across business application and BI platform
• Develop and implement solutions on the

  MS Fabric platform to support a modern enterprise data platform by implementing Kimball Data Lakehouse

  (Fact and Dim)

• Design, develop, and implement

  analytics solutions on MS Fabric and PowerBI

• Develop ETL/ELT processes

  for large-scale

  data 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 handling

  processes for reliable data integration

• Optimize pipelines

  for cost and performance through query tuning, caching, and resource management

• Automate repeatable

  data preparation tasks to reduce manual processes
• Provide troubleshooting, analysis, and

  production 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 conditions

Skills

• Minimum of 5 years

  of hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions
• Hands-on experience with Microsoft Fabric for

  data pipelines

  ,

  Gen2 Data Flows

  ,

  Activity optimization

  ,

  Data Modeling

  , and

  analytics

• Proficiency with

  Microsoft Fabric data services,

  including

  Azure 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, including

  Azure Data Lake

  ,

  Azure Data Factory

  ,

  Azure Synapse

  ,

  Azure Functions

  ,

  Azure Data Explorer

  , and

  Power BI

  (or equivalent platforms) and

  Google Big Query

• 4+ years of experience in big data scripting languages such as

  Python, or SQL

• 4+ years of experience in one scripting language for

  data 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 with

  data lake medallion architecture

  and unified data models for BI platform
• Familiarity with

  Scaled 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