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Fimador is currently looking to identify a Lead Data Engineer to join a digital health firm in a critical role as they evolve their data platforms.
Operating at leadership level, the role is strategic, yet hands-on focusing on building, operating, and continuously improving reliable, scalable, and compliant data capabilities that support AI, analytics, and enterprise workflow applications.
- You’ll have the opportunity to influence data engineering decisions through deep practical expertise and balance near-term delivery with long-term maintainability ensuring data platforms can sustainably support growing product, data, and regulatory demands.
- You'll also partner closely with architecture, AI engineers, workflow engineers, and domain experts to ensure data is usable, performant, and trustworthy for downstream GenAI and analytics use cases.
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They are looking for someone who has significant hands-on experience building and operating production data pipelines that support analytics, AI/ML, and enterprise application use cases.
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Familiarity with cloud-based data platforms and tooling, including Databricks and AWS, in production enterprise environments is desirable, as is experience supporting GenAI, NLP, or AI-driven discovery and reporting use cases through well-designed data pipeline and curated datasets.
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