Microsoft Fabric Data Engineer

JKV International LLC is seeking an experienced Microsoft Fabric Data Engineer / Consultant to design, develop, and optimize modern enterprise data engineering solutions using Microsoft Fabric. The ideal candidate will have strong hands-on experience building scalable data pipelines, implementing Lakehouse and Warehouse architectures, integrating diverse data sources, and delivering reliable data processing solutions.

The consultant will work with technical teams and business stakeholders to transform complex data requirements into secure, scalable, and high-performance data platforms., * Design, develop, and maintain data engineering solutions using Microsoft Fabric.

• Build and optimize data pipelines using Fabric Data Factory, pipelines, and Dataflows Gen2.
• Implement Lakehouse and Warehouse architectures using OneLake and Delta Lake.
• Develop ETL/ELT processes for structured and semi-structured data.
• Write advanced SQL queries and implement data transformations using Python, PySpark, and Spark SQL.
• Implement medallion architecture patterns, including Bronze, Silver, and Gold layers.
• Integrate data from enterprise databases, cloud platforms, APIs, files, and other source systems.
• Optimize pipeline execution, data processing performance, storage, and query efficiency.
• Implement incremental data loads, error handling, data validation, and data quality controls.
• Support data migration from legacy data platforms to Microsoft Fabric.
• Implement monitoring, logging, security, access controls, and governance standards.
• Work with Git, CI/CD pipelines, deployment pipelines, and environment management practices.
• Collaborate with architects, analytics engineers, BI developers, and business stakeholders.
• Troubleshoot production issues and maintain technical documentation.

• Strong hands-on experience with Microsoft Fabric data engineering capabilities.
• Experience with Fabric Lakehouse, Warehouse, OneLake, and Data Factory.
• Advanced SQL development and query optimization skills.
• Practical experience with Python, PySpark, or Spark SQL.
• Strong understanding of ETL/ELT architecture and data integration patterns.
• Experience with Delta Lake, medallion architecture, and data warehousing concepts.
• Knowledge of data modeling, data quality, and data governance.
• Experience handling large datasets and optimizing distributed data processing.
• Ability to independently design, develop, troubleshoot, and support production-grade solutions., * Microsoft Fabric Data Engineer Associate certification (DP-700).
• Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks, or Azure Synapse Analytics.
• Experience with CI/CD, Git integration, and automated deployment practices.
• Experience with enterprise data migration and modernization initiatives.

Ideal Candidate

The ideal candidate is a hands-on data engineering professional who can demonstrate real-world Microsoft Fabric implementations, explain architecture decisions, optimize data pipelines, and resolve complex data processing challenges.

Candidates whose experience is limited to Power BI report development without substantial data engineering experience are not the primary target for this requirement.