Senior Data Engineer

Job Summary

The Data Engineer will play a key role in designing, building, and optimizing scalable data pipelines that support complex analytics and modeling use cases. This role is ideal for a hands-on engineer with strong experience in PySpark and Databricks who enjoys working on performance-critical data workflows and transforming large datasets efficiently.

The ideal candidate brings deep expertise in ETL development, data transformations, and pipeline optimization, along with the ability to collaborate effectively across technical and non-technical teams. You will contribute directly to the reliability, scalability, and cost-efficiency of a modern data platform.

Responsibilities

• Design, build, and maintain scalable ETL pipelines for large-scale data processing.

• Implement data transformations and workflows using PySpark at an intermediate to advanced level.

• Work extensively with Databricks to develop, ...

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