Job Description

Job Description

SCOPE OF RESPONSIBILITY:

As part of a global, growing team of data engineers, you will collaborate in a DevOps model to enable client business with cutting-edge technology, leveraging data as an asset to support better decision-making. You will design, develop, test, and support automated end-to-end data pipelines and applications within Life Science’s data management and analytics platform (Palantir Foundry, Hadoop, and other components).

This position requires proficiency in data engineering, distributed computation, and DevOps methodologies, utilizing AWS infrastructure and on-premises data centers to support multiple technology stacks.

PURPOSE OF THE POSITION:

The purpose of this role is to build and maintain data pipelines, develop applications on various platforms, and support data-driven decision-making processes across client's business. You will work closely with cross-functional teams, i...

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