Designs and builds scalable data infrastructure — ingestion pipelines, warehouses, and relational/NoSQL/blob/vector data stores on Azure — to power analytics and AI/ML applications at a private-markets fintech, working closely with AI engineers on model training and experimentation data. Requires 5+ years of data engineering experience and strong Python.
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