Cozen O'Connor is seeking an Entry Level LLM Solutions Designer to develop data solutions leveraging Azure technologies and AI for enhanced document processing. The role requires strong SQL skills and experience in data modeling and analytics.
## Qualifications - Bachelor’s degree or higher in Data Analytics, Data Engineering, Information Systems, or related field - 2+ years of professional experience, with for .NET, MSQL Dev and MS Data Fabric in data rich environments - Expertise in Azure Data ecosystem including Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL, and Microsoft Fabric - Strong SQL skills, and experience in data modeling, pipeline design, and analytics solutions - Hands-on experience integrating and securing data sources from SQL Server and SharePoint - Proven analytical skills, attention to detail, and strong cross-functional collaboration abilities ## Responsibilities - The role involves designing data solutions, enhancing document processing with AI, and ensuring data quality and compliance in legal practices - Design and architect end-to-end data solutions leveraging Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, and Azure Data Lake Storage - Integrate Azure AI services such as Azure OpenAI Service, Azure Cognitive Search, and Azure Language Understanding (LUIS) to enhance data-driven document processing and analytics - Develop robust ETL/ELT workflows using Azure Data Factory, Azure Databricks, and Power BI for advanced analytics and visualizations - Ensure high data quality, governance, and compliance through Azure Purview and Azure security best practices - Collaborate with AI Engineers and Product Owners to identify business needs, prototype solutions, and validate technical feasibility ## Full Description Verified Job On Employer Career Site Job Summary: Cozen O'Connor is a law firm seeking an LLM Solutions Designer to integrate Azure Data platforms and AI technologies for data analytics solutions. The role involves designing data solutions, enhancing document processing with AI, and ensuring data quality and compliance in legal practices. Responsibilities: • Design and architect end-to-end data solutions leveraging Azure Synapse Analytics, Azure SQL Database, Microsoft Fabric, and Azure Data Lake Storage. • Integrate Azure AI services such as Azure OpenAI Service, Azure Cognitive Search, and Azure Language Understanding (LUIS) to enhance data-driven document processing and analytics. • Develop robust ETL/ELT workflows using Azure Data Factory, Azure Databricks, and Power BI for advanced analytics and visualizations. • Ensure high data quality, governance, and compliance through Azure Purview and Azure security best practices. • Collaborate with AI Engineers and Product Owners to identify business needs, prototype solutions, and validate technical feasibility. Qualifications: Required: • Bachelor’s degree or higher in Data Analytics, Data Engineering, Information Systems, or related field. • 2+ years of professional experience, with for .NET, MSQL Dev and MS Data Fabric in data rich environments. • Expertise in Azure Data ecosystem including Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL, and Microsoft Fabric. • Strong SQL skills, and experience in data modeling, pipeline design, and analytics solutions. • Hands-on experience integrating and securing data sources from SQL Server and SharePoint. • Proven analytical skills, attention to detail, and strong cross-functional collaboration abilities. Company: Cozen O'Connor is a full-service firm with nationally recognized practices in litigation, business law, and government relations. Founded in 1970, the company is headquartered in Philadelphia, Pennsylvania, USA, with a team of 1001-5000 employees. The company is currently Late Stage. Cozen O'Connor has a track record of offering H1B sponsorships.
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Cozen O'Connor is seeking an Entry Level LLM Solutions Designer to develop data solutions leveraging Azure technologies and AI for enhanced document processing. The role requires strong SQL skills and experience in data modeling and analytics.