Data Warehouse/Microsoft Fabric Engineer
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Job Description:
We are seeking a Data Warehouse Engineer to design, develop, and maintain scalable data warehouse solutions that support analytics, reporting, and application development. This role will focus on building efficient data pipelines, implementing structured data models, and integrating data from various source systems into centralized, analytics-ready environments.
The selected candidate will work closely with analytics and application developers, as well as project teams, to ensure data platforms are reliable, high-performance, and aligned with business and project requirements. This role requires strong SQL skills, experience with cloud-based data platforms (preferably Microsoft Azure), and a solid understanding of modern data warehousing best practices.
Key Responsibilities:
- Design, develop, and maintain enterprise data warehouse solutions using modern data warehousing principles
- Experience using Microsoft Fabric
- Build and manage ETL/ELT pipelines to ingest and transform data from various structured and unstructured sources
- Develop and maintain dimensional data models optimized for analytics and reporting
- Write efficient, scalable SQL queries and optimize database performance
- Integrate data from systems such as relational databases, cloud platforms, APIs, SharePoint, flat files, and enterprise applications
- Support data preparation and modeling needs for analytics platforms such as Power BI
- Implement data validation, monitoring, and quality control processes to ensure data integrity
- Collaborate with analytics and application development teams to support reporting and application requirements
- Support cloud-based data platform development, primarily within the Microsoft Azure ecosystem
- Work with both traditional ETL tools and modern cloud-based data integration tools
- Document data models, pipeline processes, and system architecture
Typical Assignments:
- Design and implement data warehouse schemas, including fact and dimension tables
- Develop ETL/ELT pipelines using Azure Data Factory, SSIS, Microsoft Fabric, or similar tools
- Build and maintain Azure SQL databases, data lakes, Synapse, or Fabric-based warehouse environments
- Transform and integrate data from multiple enterprise systems into centralized warehouse environments
- Work with structured and semi-structured data formats, including Parquet files, CSV, and JSON
- Optimize data structures and queries to improve performance and scalability
- Support Power BI development teams by providing clean, structured, and performant data models
- Assist in the design and implementation of cloud-based data platform architecture
- Support backend data integration for Power Platform solutions, including Power BI and Power Pages
- Troubleshoot and resolve data pipeline, performance, and integration issues
- Assist in establishing and maintaining data engineering and data warehousing best practices
Education and Experience
- High School Diploma
- 3–7+ years of experience in data engineering, data warehousing, or related field.
- Extensive experience using Microsoft Fabric
- Strong proficiency in SQL, including query optimization, indexing, and performance tuning
- Experience designing and implementing data warehouse architectures and dimensional data models
- Experience developing ETL/ELT pipelines and data integration workflows
- Experience with SQL Server Integration Services (SSIS)
- Experience working with relational databases such as SQL Server, Azure SQL, or similar platforms
- Experience working