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Data Pipeline Architect

3 weeks ago


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Role Overview:

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  • Job Description
  • We are seeking an experienced Data Engineer to design and implement scalable data pipelines utilizing expertise in Palantir Foundry.
  • Responsibilities will include developing efficient data processing solutions using PySpark and building robust data engineering tools with Typescript.

The ideal candidate will have a minimum of 5-8 years of experience as a Data Engineer, with proven expertise in all mentioned skills.

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About the Role

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As a Data Engineer on our team, you will contribute to an international enterprise organisation's greenfield project initiative. This is a unique opportunity to bring data engineering best practices onto a multi-year project.

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Required Skills and Qualifications

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  • Palantir Foundry/Workshop: Utilize your experience with Palantir Foundry to design and implement scalable data pipelines.
  • PySpark: Leverage your knowledge of PySpark to develop efficient data processing solutions.
  • Typescript: Apply your expertise in Typescript to build robust data engineering tools.

A strong foundation in software engineering principles and excellent problem-solving skills are essential for this role.

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  • Key Responsibilities:
  • Design and implement scalable data pipelines using Palantir Foundry.
  • Develop efficient data processing solutions using PySpark.
  • Build robust data engineering tools using Typescript.

Benefits

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This role offers a competitive salary and benefits package, including opportunities for professional growth and development.

Our team values innovation, collaboration, and continuous learning, and we encourage our employees to take ownership of their work and strive for excellence.

Join us in shaping the future of data engineering and driving business success.