Found Description
Position Summary
The Data Engineer will design, build, and optimize scalable data pipelines and curated data products within a modern Lakehouse architecture (Databricks). This role is responsible for delivering high-quality, business-ready datasets (gold layer) that power enterprise analytics and Power BI reporting. The ideal candidate has deep Databricks experience, strong data modeling skills, and a focus on building reliable, testable, and governed data solutions. Exposure to AI‑driven development or AI agents is a plus.
Work You’ll Do
Data Engineering & Pipeline Development
- Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake
- Build and manage transformations across bronze, silver, and gold layers
- Optimize processing for performance, reliability, and cost
- Integrate data from ERP, CRM, APIs, and other enterprise systems
Data Modeling & Business Logic
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