We are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines and architectures. The role focuses on ensuring reliable data integration, transformation, and accessibility across multiple platforms, including cloud environments, to support business intelligence and analytics initiatives.
Key Responsibilities
Design, develop, and maintain scalable data architectures and data pipelines based on business requirements
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Lead the execution of client-facing data science, analytics, and data engineering projects from scoping through deployment and handover.
Design analytical approaches and solution architectures using our low-code data science studio, visual ETL platform, and enterprise lakehouse (with change-data-capture capabilities).
Write Python to extend, integrate, or bridge these platforms — custom transformations, model logic, APIs, automation, and anything the visual tools can't handle out of the box.
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