Note: The job is a remote job and is open to candidates in USA. CodeForce 360 is a global IT talent partner helping enterprise organizations build technology teams. They are seeking an experienced Microsoft Fabric Consultant / Fabric Data Engineer to design, implement, optimize, and support scalable cloud data solutions, pipelines, data models, data warehouses, and Power BI solutions using the Microsoft Fabric ecosystem.
Responsibilities
- Design and implement end-to-end Microsoft Fabric data solutions
- Develop scalable data pipelines using Fabric Data Factory, Pipelines, and Dataflows Gen2
- Build and maintain Fabric Lake houses and One Lake data solutions
- Develop data transformation and processing solutions using Apache Spark, PySpark, Python, and SQL
- Design Medallion Architecture including Bronze, Silver, and Gold layers
- Develop and optimize Fabric Data Warehouse and SQL-based solutions
- Build and maintain enterprise data models and semantic models
- Integrate data from cloud, on-premises, APIs, databases, and other enterprise sources
- Implement incremental loads, CDC, data validation, and data quality frameworks
- Develop and optimize Power BI reports, dashboards, and semantic models
- Work with stakeholders to understand business requirements and translate them into technical solutions
- Perform performance tuning of pipelines, Spark workloads, SQL queries, and Power BI models
- Implement security, governance, workspace management, and access controls
- Support migration of existing Azure Data Factory, Azure Synapse, Databricks, and Power BI workloads to Microsoft Fabric
- Troubleshoot production issues and provide technical support
- Establish best practices around deployment, monitoring, CI/CD, and Fabric environment management
Skills
- 5+ years of experience in Data Engineering / Cloud Data Platforms
- Strong hands-on experience with Microsoft Fabric
- Strong understanding of ETL/ELT and data integration
- Experience with Medallion Architecture and Delta tables
- Strong experience in data modeling and dimensional modeling
- Experience with Power BI, DAX, Power Query, and Semantic Models
- Experience integrating multiple data sources and APIs
- Strong understanding of Azure data services such as Azure Data Factory, Azure Synapse, Azure Data Lake Storage, and Azure Databricks
- Experience with Git and CI/CD pipelines
- Strong analytical, troubleshooting, and communication skills
- Microsoft Fabric One Lake
- Fabric Lakehouse
- Fabric Data Factory
- Fabric Pipelines
- Dataflows Gen2
- Fabric Data Warehouse
- Fabric Notebooks
- Apache Spark / PySpark
- SQL / T-SQL
- Python
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