Job Description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.


We are seeking a highly skilled and experienced

Lead Palantir Data Software Engineer

to join our dynamic team and lead transformative data projects within the Insurance domain.


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

We offer

Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: + Health benefits
+ Retirement benefits
+ Paid time off
+ Flexible benefits
* Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)