Senior Palantir Data Software Engineer

EPAM Systems; Maharashtra; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

EPAM Systems in India, Maharashtra seeks a Senior Palantir Data Software Engineer to design data pipelines using Palantir Foundry and optimize ETL with Python, PySpark, and SQL. You will transform large datasets and collaborate in an agile team within the Insurance domain. Strong analytics and communication are essential.

Relevant experience with data warehousing, ELT, and English proficiency will support effective cross-functional work in a diverse, global environment.

Qualifications

• Bachelor's degree in CS/Data Science or related field.
• 5+ years in large-scale distributed computing.
• Hands-on Palantir Foundry development experience.
• Proficiency with Python, PySpark and SQL for data pipelines.
• Knowledge of data warehousing concepts and ELT techniques.
• Experience in Scrum/Agile environments and strong communication.
• English proficiency at upper-intermediate level or higher.

Responsibilities

• Design and implement robust data pipelines using Palantir Foundry.
• Optimize ETL processes with Python, PySpark, and SQL.
• Develop scalable data solutions using data warehousing concepts.
• Collaborate in Scrum/Agile teams to deliver high-quality solutions.
• Analyze data and debug complex pipelines; document workflows.
• Bridge technical and business needs with Insurance domain alignment.
• Stay updated on industry trends and emerging technologies.

Skills

Data pipelines

Big data analytics

Analytical thinking

Time management

Communication

Education

Bachelor's degree in Computer Science/Data Science or related field

Tools

Palantir Foundry

Python

PySpark

SQL

Spark SQL

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
• Familiarity with front-end technologies like HTML, CSS, JavaScript, and build tools like Gradle