The company: We are a global custom software development and IT project staffing organization without geographic restrictions; we operate globally, navigating technology and business challenges with expertise. Our U.S. headquarters are in San Diego, California and we also have strategically located development centers in Brazil, Mexico, Peru, and Uruguay. Our Latin America headquarters are based in Porto Alegre, Brazil, with a branch in São Paulo. For over two decades, we have been globally recognized in the software and innovation market for delivering projects with added value, crafted by agile teams of skilled professionals. Check out our international page at www.ntconsultcorp.com.

Projetct: We are seeking an experienced Data and Analytics Solutions Developer with a strong background in architecting, designing, and implementing complex data and analytics solutions using SQL Server, Power BI, and the Microsoft Fabric platform.

Requirements:

• 5+ years of hands-on experience with Microsoft SQL Server, Analysis Service (SSAS) cube and Power BI Semantic Model development and administration 
• 3+ years of experience in enterprise data warehouse implementation in SQL Server, with knowledge of dimensional modeling and semantic model definition.
• 2+ years of experience in data engineering using Python and Fabric Notebooks.
• Experience in full data pipeline technologies, including Azure SQL Database/Managed Instance, Azure Data Factory, Fabric Data Pipeline, and other ETL tools.
• Experience supporting BI and analytics workloads.
• Strong data analysis skills to interpret complex datasets, identify patterns, solve data-related problems, and support business decisions 
• Experience with graph databases such as Neo4j or Microsoft Graph, and graph querying languages like GQL and Cypher is a plus.
• Familiarity with Azure DevOps and CI/CD pipelines, with a working knowledge of agile development, SCRUM, and Change Management.
• Experience executing small to medium-sized projects and a general understanding of Project Management principles.