Lead Palantir Data Software Engineer

Lead Palantir Data Software Engineer

This role is ideal for professionals who excel at addressing complex big data challenges, leveraging cutting-edge technologies like Palantir Foundry, and building scalable analytics solutions to empower critical business decision-making.

Responsibilities

• Design and manage complex data pipelines and analytics solutions to address business challenges in the Insurance domain
• Develop scalable workflows using Python and PySpark to handle large datasets efficiently
• Optimize querying and data manipulation through expertise in SQL, with a preference for Spark SQL
• Architect advanced data warehousing solutions, focusing on ELT techniques and distributed computing systems
• Collaborate with stakeholders to align data solutions with organizational goals and requirements
• Apply Agile and Scrum methodologies to drive iterative development processes and deliver results effectively
• Integrate and leverage Palantir Foundry to support advanced data transformation and visualization needs
• Analyze, troubleshoot, and resolve technical issues to ensure data solution reliability and scalability
• Mentor team members, fostering a culture of technical growth and innovation
• Communicate complex technical concepts clearly and professionally to diverse audiences
• Support and enhance cross-functional collaboration in a global, multicultural team environment

Requirements

• Bachelor's degree or equivalent in Computer Science, Data Science, or related field
• 9-12 years of IT experience, including at least 5 years focused on large-scale distributed computing systems
• At least 6 months of hands-on development experience with Palantir Foundry
• Proficiency in Python and PySpark for building and optimizing data pipelines
• Expertise in SQL, including Spark SQL, for advanced querying and data manipulation
• Strong knowledge of data warehousing principles and ELT techniques
• Background in Agile and Scrum methodologies to manage and execute projects
• Strong analytical and problem-solving skills for complex data challenges
• Capability to work autonomously and manage workloads effectively
• Proven ability to communicate technical solutions through written and verbal means
• Flexibility to collaborate in a global and multicultural environment
• English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

• Background in the Insurance domain or experience in Finance functions across industries
• Familiarity with front-end technologies like HTML, CSS, and JavaScript
• Experience with Gradle for build automation
• Showcase of leading cross-functional or globally distributed teams
• Understanding of machine learning principles for data-driven insights