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Senior Palantir Data Software Engineer

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Onsite

Senior Palantir Data Software Engineer

Epam Systems

Senior Palantir Data Software Engineer

Skills

SQL QueriesBig DataPythonData ScienceData AnalysisMachine LearningGradlePySparkJavascript

3 months ago

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Important information


Contract type:

Permanent

Location:

Coimbatore, Tamil Nadu, India

Work mode:

Onsite

Published on:

7 August 2026

What they need


We are seeking a skilled Senior Palantir Data Software Engineer to join our team and contribute to a complex Data Transformation project within the Insurance domain.

In this role, you will have the opportunity to design and implement advanced data pipelines and analytics solutions, leveraging cutting-edge Big Data and Machine Learning technologies to solve emerging challenges and support critical business decision-making.

Responsibilities

  • Design and implement robust data pipelines using Palantir Foundry to enable data-driven decision-making
  • Optimize and maintain ETL processes utilizing Python, PySpark, and SQL to transform large-scale datasets efficiently
  • Apply data warehousing concepts and ELT techniques to develop scalable data solutions
  • Collaborate with cross-functional teams in a Scrum/Agile environment to deliver high-quality solutions
  • Perform data analysis and debugging to identify and resolve issues in complex data pipelines
  • Bridge technical and business knowledge to ensure alignment of data solutions with Insurance domain objectives
  • Document processes, workflows, and functionality to ensure transparency and ease of future updates
  • Stay updated on industry trends and emerging technologies for potential adoption
  • Participate in global, culturally diverse team interactions with effective communication

Requirements

  • Bachelor's degree or equivalent in Computer Science, Data Science, or a related field
  • At least 5 years of experience with a focus on large-scale distributed computing systems
  • Hands-on development experience with Palantir Foundry
  • Proficiency in Python, PySpark, and SQL (Spark SQL preferred) for developing and optimizing complex data pipelines
  • Extensive knowledge of data warehousing concepts and ELT techniques, and understanding of Insurance domain is highly desirable
  • Experience with Scrum and Agile methodologies for project delivery
  • Showcase of strong analytical thinking and the ability to address intricate challenges
  • Self-motivated with good time management skills, capable of owning tasks from inception to delivery
  • Strong interpersonal and verbal/written communication skills, including clarity in complex contexts
  • Upper-Intermediate (B2) or higher proficiency in English

Nice to have

  • Background in the Insurance domain, Financial Industry, or finance-related functions in other industries
  • Familiarity with front-end technologies like HTML, CSS, JavaScript, and build tools like Gradle

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