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 positive time m
📌 Senior Palantir Data Software Engineer (Pune)
🏢 EPAM Systems
📍 Pune
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