Analytics Data Engineer: Lakehouse & Data Pipelines
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Summary
Design and implement analytics workflows and data pipelines in SQL, Python, and Databricks for Aon’s lakehouse architecture to power dashboards and reports.
Aon is seeking an Analytics Data Engineer in Singapore to design and deliver analytics workflows. You will collaborate with actuarial, analytical, and technical stakeholders to specify methodologies, data inputs, rules, and outputs, and implement them in SQL, Python, and Databricks.
The role focuses on building curated data layers, validating outputs, and maintaining modern data pipelines across lakehouse architectures for dashboards and reports.