Full Stack Data Engineer

Strong experience in Databricks, Lakehouse Platform, Apache Spark, Delta Lake, Unity Catalog, and modern cloud data architecture.The ideal candidate will be responsible for designing, developing, and maintaining scalable data platforms. Building end-to-end data pipelines, supporting analytics and AI/ML workloads, and implementing secure, governed,Performance-optimized data solutions on cloud platforms.Build and maintain integrations between internal systems, third-party APIs, and AI/ML services in productionDesign automation workflows that reduce manual processes (data pipelines, scheduled jobs, event-driven triggers)Develop full stack product features — frontend to API to database — with a focus on reliability and clean system boundaries.Comfortable across the stack: backend language (Python, Node.js, or similar), frontend framework (React, Vue, etc.), and SQLExperience connecting systems via REST APIs, webhooks, or message queuesSystematic, structured thought processFamiliarity with Git and basic CI/CD concepts and how AI-powered browser automation works.