Data Engineer (PySpark + Palantir Foundry) @ Crestt Remote

Data Engineer (PySpark + Palantir Foundry) @ Crestt

Remote

• Advanced knowledge of PySpark and Python
• Hands-on experience with Palantir Foundry (data modeling, data flows, ETL/ELT)
• Familiarity with Data Lake concepts and tools like Azure DevOps, Jira, and Confluence
• Experience working in Scrum-based environments
• Ability to work independently and consult effectively with project teams and stakeholders

Hi! We are looking for experienced Data Engineers to join a strategic project within the healthcare sector for one of the world’s leading life science companies. You will be working on data migration and ETL/ELT process development in Palantir Foundry

• Rate: 180–250 PLN/hour (B2B)
• Start date: August 2025
• Location: 100% remote
• Engagement: full-time
• Own equipment required

Technical & organizational notes:

• Work is fully remote and asynchronous — you choose your working hours and location
• Candidates must use their own hardware (PC and/or laptop)
• Sprint cycles last 3 weeks, with planning and review handled by the Product Owner

 

Interviews will be scheduled next week — apply now to secure your spot on this impactful, high-profile project!

,[Design and implement data flows and Data Lake structures using PySpark in Palantir Foundry  , Develop and maintain documentation in Confluence  , Estimate and deliver tasks assigned via ticketing systems (e.g., Azure DevOps, Jira) , Participate in Scrum ceremonies and collaborate with the Product Owner during sprint reviews , Provide consultations and support to team members and end users on implemented solutions , Build ETL pipelines in accordance with Merck’s architectural standards ] Requirements: PySpark, ETL, Data Lake, Confluence, Jira, Python, Data modeling, Azure DevOps, Scrum, Palantir Foundry, ELT Additionally: Remote work.

Kategorie

data

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