Senior Palantir Data Software Engineer

EPAM Systems; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

EPAM Systems is seeking a Senior Palantir Data Software Engineer to design and implement robust data pipelines using Palantir Foundry within the Insurance domain. You will leverage Python, PySpark, and SQL to transform large-scale datasets into actionable insights.

Join a Scrum/Agile team to deliver scalable data solutions, optimize ETL processes, and document workflows for transparency and future updates. This role requires 5+ years in distributed computing and strong collaboration across

Qualifications

• Bachelor's degree or equivalent in Computer Science, Data Science, or a related field.
• At least 5 years of experience with large-scale distributed computing systems.
• Hands-on development experience with Palantir Foundry.
• Proficiency in Python, PySpark, and SQL (Spark SQL preferred).
• Experience with Scrum and Agile methodologies for project delivery.

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 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 with Insurance domain objectives.
• Document processes, workflows, and functionality to ensure transparency and future updates.
• Stay updated on industry trends and emerging technologies for potential adoption.
• Participate in global, culturally diverse team interactions with effective communication.

Skills

Big Data

Distributed computing

Agile/Scrum

Insurance domain knowledge

Data warehousing concepts

Education

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

Tools

Palantir Foundry

Python

PySpark

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