Palantir Data Engineer

• 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

Required Skills:

• Bachelor's degree or equivalent in Computer Science, Data Science, or a related field
• 4+ years of experience with a focus on large-scale distributed computing systems
• 6+ months of 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

Nice to have

• Background in the Insurance domain, Financial Industry, or finance-related functions in other industries