Data Engineer

• Design and maintain data lake architectures that support AI Operations workflows, analytics, and automation.
• Build and optimize ETL/ELT pipelines to ingest raw data from internal and external tools into Snowflake and other structured data stores.
• Partner with Business Analysts to translate business requirements into scalable, production-ready data solutions.
• Collaborate with Automation Specialists to connect data pipelines with workflow automation requests, custom GPTs, and AI assistant integrations.
• Support Full Stack Engineers by developing and maintaining the MCP Server that connects data services with internal tools and systems.
• Work with Business Analysts to validate data quality and ensure accuracy across key datasets and workflows.
• Troubleshoot and resolve data ingestion issues, recommending improvements to infrastructure, processes, and tools.
• Monitor and maintain all data workflows within the AI Operations ecosystem, ensuring performance, reliability, and scalability.

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