Data Engineer

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Описание

Data Engineer Data Platform & Engineering Build and maintain reliable data pipelines using tools such as Airbyte, Snowflake, and dbt. Design and optimize scalable data models that support analytics, reporting, search, and AI-powered applications. Develop and maintain dbt models, testing frameworks, documentation, and deployment processes. Ensure data quality, reliability, governance, and operational excellence across the data platform. Take direction from Senior staff to learn and support standard work and best practices. AI Application Development Build and enhance AI-powered applications that securely retrieve, interpret, and summarize business information. Design retrieval, context-management, prompt-engineering, and tool-calling approaches that improve accuracy, transparency, and user trust. Develop agent-based workflows that can complete multi-step business processes using approved tools and systems. Create APIs, services, and integrations that connect AI applications with internal platforms and business systems. Gain an understanding of business use of the AI agents and provide feedback for ensuring valuable results to users. Operations & Collaboration Monitor system health, application performance, data quality, AI usage, and operational costs. Troubleshoot issues across data pipelines, warehouse transformations, software services, and AI workflows. Apply security, access control, testing, logging, and governance best practices throughout the development lifecycle. Par

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