Consultant

Key Responsibilities: Data Visualization & Analytics Design and develop interactive dashboards and reports using Microsoft Power BI Translate business-defined KPIs and metrics into meaningful visual insights Create intuitive and user-centric analytical experiences for business stakeholders Optimize dashboard performance and usability for enterprise-scale datasets Develop reusable visualization standards and UI components Application Development Build Natural Language Query (NLQ) interfaces to enable users to query enterprise data using conversational language. Develop AI-powered chatbot solutions integrated with enterprise data platforms Enable semantic search and conversational analytics capabilities Integrate chatbot applications with Snowflake data sources Collaborate with business users to improve query accuracy and user experience Design and develop enterprise-grade applications using Streamlit Build interactive data applications for reporting, analytics, and data quality monitoring Integrate APIs, databases, and backend services into Streamlit applications Ensure responsive UI/UX design and application scalability Implement authentication, role-based access, and deployment best practices Data Engineering & Integration Develop and optimize SQL queries, views, and transformations in Snowflake Work with structured and semi-structured data sources Collaborate with data engineering teams to build efficient data pipelines Ensure data accuracy, governance, and performance optimization Technical Skills 4+ years of experience in data engineering, BI development, analytics engineering, or UI/UX application development Proven experience building enterprise dashboards and analytical applications Experience working with cross-functional business and technical teams Experience building applications using Streamlit Proficiency in Python programming and frameworks. Strong SQL skills and experience with Snowflake Experience with REST APIs and data integration Knowledge of UI/UX principles and responsive design Experience with NLP, LLMs, chatbot frameworks, or conversational AI platforms Familiarity with Git and CI/CD practices Preferred Skills Experience with Generative AI and LLM integrations Knowledge of semantic models and vector search concepts Experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Experience with enterprise data governance and security Familiarity with Agile delivery methodologies