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They build reliable, accurate, consistent, and architecturally sound solutions that are aligned with business needs.\nThis role requires working cross-functionally with business users, IS&T, data scientists and other engineers to develop and deploy data services and pipelines. An ability to acquire knowledge of Finance business processes is important.\nYou will be working in an enterprise data warehouse and lakehouse environments to help identify and combine data in an efficient, scalable manner to help answer business questions.\nDescription\nWork closely with data scientists, machine learning engineers, software engineers, and business partners to identify, capture, collect, load and format data from the external sources, internal systems and the data warehouse.\nDevelop, test, deploy, monitor, document and troubleshoot data pipelines and feature-ready datasets\nCollaborate with other engineers to define and adopt best practices for translate finance use cases into data requirements, schemas, and retrieval patterns for RAG, agents, and other LLM workflows\nIdentify and review capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques\nMinimum Qualifications\n5+ years of relevant Data Engineering 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