Senior Web Developer and Data Engineer

About CoPoint AICoPoint AI is a specialized consulting firm focused on transforming businesses through process improvement, data insights, and technology-driven innovation. We leverage AI technologies, Microsoft cloud platforms, and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth.As a Senior Consultant at CoPoint AI, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications. You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments. Key Responsibilities Design and develop enterprise applications using Microsoft Fabric components:Power BI, Data Factory, Synapse, Lakehouse, Dataflows, and OneLakeArchitect and deploy data integration pipelines for real-time and batch processingDevelop and maintain custom web applications integrated with Fabric data sourcesAutomate workflows and implement Data Activator triggers for operational intelligenceBuild and manage semantic models, Power BI reports, and paginated reportsDesign event-driven, API-first architectures using .NET Core, Python, and Azure FunctionsIntegrate Azure AI services (e.g., Azure OpenAI, Cognitive Search) into enterprise applicationsLead sprint-based feature delivery and contribute to solution architectureTranslate complex business requirements into scalable software and data designsMentor junior developers and support knowledge-sharing across the teamSupport proposal development and solution demos in pre-sales engagement.

2-4 years of experience in development, data engineering, or BI solution delivery. Hands-on expertise with Microsoft Fabric components (Power BI, Synapse, Data Factory, etc.). Proficient in C#, .NET, or Python for backend development. Familiarity with Power BI Desktop, DAX, and Power Query M. Experience with REST APIs, Azure Logic Apps, or Power Platform connectors. Strong grasp of cloud-native design patterns and DevOps practices. Exposure to Azure Data Lake, Delta Lake, or Parquet-based storage systems. Understanding of data governance, quality, and security models.