Database Engineer

Experience - Need 14+ Years Need visa independent consultant Job Title: Senior Database / Azure Data Engineer – LLM & Agentic AI Focus Location: Dallas, Texas(Onsite) Type: Long term Contract Key Responsibility • esDesign, develop, and maintain scalable, high-performance database solution • s.Lead data modelling, database design, and performance-tuning initiative • s.Develop and optimize complex SQL/T-SQL queries, stored procedures, functions, and trigger • s.Implement and manage Role-Based Access Control (RBAC) while ensuring database security and complianc • e.Analyze and improve database internals, indexing strategies, and execution plan • s.Build and manage end-to-end data pipelines using Azure Data Factor • y.Design and implement modern data architectures, including data warehouses and data lakes using Azure Synapse and Microsoft Fabri • c.Collaborate with cross-functional teams to deliver scalable data engineering and analytics solution • s.Develop and maintain Python-based data services, APIs, and microservice • s.Use frameworks such as DBT, FastAPI, or Django to support data transformation and service exposur • e.Integrate data platforms with LLM-based systems and agentic workflows to enable intelligent automatio • n.Contribute to the design and implementation of agentic AI solutions, including orchestration, tool usage, and API interaction pattern s.Required Qualificatio nsDatabase Engineering Experti • se10–14 years of experience as a Database Engineer or Data Enginee • r.Strong expertise in data modelling, database design, performance tuning, optimization, advanced SQL, and T-SQ • L.Proven experience writing complex stored procedures, user-defined functions (UDFs), and trigger • s.Strong knowledge of database internals, indexing, execution plans, security models, and RBA C.Azure Data Engineeri • ng5+ years of experience with Azure data platform • s.Hands-on experience building complex pipelines and orchestrations using Azure Data Factory (ADF • ).Experience with Azure Synapse Analytics, Microsoft Fabric, data lakes, and data warehouse implementation • s.Good understanding of the Azure ecosystem, core services, and networking fundamentals such as VNets and private endpoint s.Programming and Framewor • ksStrong hands-on experience in Python for API integrations, data processing, and microservices architectur • e.Familiarity with DBT (Data Build Tool), workflow orchestration tools, and frameworks such as FastAPI or Djang o.AI, LLM, and Agentic Syste • msExperience working with LLM-based interfaces and AI-powered automation workflow • s.Hands-on exposure to Claude or similar agentic coding framework • s.Experience designing and building agent-based solution • s.Understanding of prompt engineering, tool orchestration, API-based LLM integrations, and autonomous or semi-autonomous workflow desig n.Preferred Qualificatio • nsExperience implementing AI-driven data solution • s.Exposure to MLOps or AI lifecycle managemen • t.Familiarity with distributed systems and event-driven architecture • s.Strong problem-solving and analytical skill s.Soft Skil • lsExcellent communication and stakeholder management skill • s.Ability to work effectively in a fast-paced, collaborative environmen • t.Strong attention to detail with a performance-optimization mindse t.