Senior Palantir Data Software Engineer

EPAM Systems; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EPAM Systems is seeking a skilled Senior Palantir Data Software Engineer to join their team in India. This role involves designing and implementing advanced data pipelines and analytics solutions for a complex Data Transformation project within the Insurance domain.

Candidates should have at least 5 years of experience, be proficient in Python, PySpark, and SQL, and possess a Bachelor's degree in a relevant field. Join an engaging global team dedicated to innovative data solutions.

Qualifications

• 5+ years experience with large‑scale distributed computing systems.
• Hands-on experience with Palantir Foundry.
• Proficiency in Python, PySpark, and SQL for data pipeline optimization.
• Knowledge of data warehousing concepts and ELT techniques.
• Experience working in Scrum and Agile methodologies.

Responsibilities

• Design and implement robust data pipelines using Palantir Foundry.
• Optimize ETL processes with Python, PySpark, and SQL.
• Collaborate in a Scrum/Agile environment for high-quality solutions.
• Perform data analysis to resolve issues in data pipelines.
• Document processes and workflows for transparency.

Skills

Palantir Foundry

Python

PySpark

SQL

Data Warehousing

Analytical Thinking

Scrum

Agile Methodologies

Communication Skills

English (B2)

Education

Bachelor's degree in Computer Science or Data Science

Tools

ETL Processes

Big Data Technologies

HTML

CSS

JavaScript

Gradle

Job description

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.
• Nice to have: Familiarity with front‑end technologies like HTML, CSS, JavaScript, and build tools like Gradle.