Job Description: Data Engineer with deep experience in Microsoft Fabric, including OneLake, Data Warehouse, Dataflows, and Data Factory capabilities. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, integrating diverse data sources, and enabling analytics and reporting using the Microsoft Fabric ecosystem. Key Responsibilities: Design and implement end-to-end data solutions using Microsoft Fabric's unified analytics platform. Develop and maintain data pipelines leveraging OneLake, Dataflows Gen2, and Data Factory pipelines. Build and manage enterprise-grade data warehouse models within Microsoft Fabric. Optimize performance and storage using best practices in Lakehouse and data warehousing. Collaborate with data analysts, BI developers, and business stakeholders to ensure data accuracy and usability. Implement data governance, security, and compliance policies within the Fabric environment. Monitor data jobs and troubleshoot any failures or performance bottlenecks. Contribute to architectural discussions and best practice documentation for data platform design. Required Qualifications: 3 6 years of experience in data engineering or similar roles. Strong proficiency with Microsoft Fabric , including One Lake, Data Warehouse, Dataflows, and Pipelines. Proficient in T-SQL, DAX, and Python or Spark for data transformations. Experience with Power BI and integration with Fabric datasets. Solid understanding of data modeling (star/snowflake schemas), ELT/ETL processes, and cloud data storage principles. Familiarity with data governance and security practices in Azure.
Strong proficiency with Microsoft Fabric. Proficient in T-SQL, DAX, and Python or Spark for data transformations. Solid understanding of data modeling (star/snowflake schemas), ELT/ETL processes, and cloud data storage principles. Annual bonus Health insurance