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5 дней назад

Senior Data Engineer (Palantir Foundry)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Poland/Romania/Bulgaria +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Senior Data Engineer (Palantir Foundry): Designing and maintaining scalable data pipelines and optimizing workflows within Palantir Foundry with an accent on data virtualization and AI-driven solutions. Focus on implementing complex data transformations using PySpark and SQL and enabling advanced dashboarding capabilities.

Location: Must be based in the European Union region and possess a valid work permit

Company

hirify.global is a global AI-first digital transformation and engineering partner specializing in AI, data, and cloud solutions for major international clients.

What you will do

  • Design, develop, and maintain scalable data pipelines and workflows using Palantir Foundry.
  • Support the implementation of AI-driven solutions and transformational data workflows.
  • Develop data models and enable data virtualization and dashboarding capabilities.
  • Collaborate with cross-functional engineering, business, and analytics teams to align on data goals.
  • Lead architectural decisions within the data ecosystem and ensure best practices in governance and performance optimization.
  • Work within an Agile/Scrum environment, actively participating in all ceremonies.

Requirements

  • Hands-on experience with Palantir Foundry.
  • Strong expertise in data engineering, pipeline architecture, PySpark, and SQL.
  • Proficiency in Python development and experience with cloud platforms (preferably Azure).
  • Experience working with Databricks or Snowflake.
  • Fluent English (C1+ level).
  • Must be based in the EU and have a valid work permit.

Nice to have

  • Knowledge of TypeScript (IaC).
  • Experience with enterprise-scale data platforms.
  • German language skills.
  • Exposure to the life sciences or healthcare domains.

Hiring process

  • CV review and initial HR call.
  • Technical interview.
  • Client interview.
  • Final decision.

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