Senior Palantir Data Engineer

Are you a self-starter with strong problem-solving skills, capable of owning and implementing solutions from start to finish? Do you enjoy tackling the challenge of solving complex Big Data analytics problems using state-of-the-art technologies?
EPAM is looking for a skilled Senior Palantir Data Engineer to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property & Casualty business domain.
If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!
Responsibilities
Lead the design and implement robust, large-scale data pipelines and analytics solutions
Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages
Optimize data workflows to support critical decision-making processes
Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges
Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies
Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property & Casualty value chain
Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem
Requirements
Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline
5+ years of experience working with large-scale distributed computing systems
Proficiency in Python/PySpark to build and optimize complex data pipelines
Hands-on experience working with Databricks for large-scale data processing and analytics
Strong SQL skills (preferably Spark SQL) for data querying and manipulation
Deep understanding of data warehousing concepts and ELT techniques
Experience with Palantir Foundry is a must
Familiarity with Agile and Scrum development methodologies
Strong analytical and problem-solving skills
Self-starter with a positive outlook and an eagerness to learn
Self-direction and effective workload management
Ability to work enthusiastically in a global and multicultural environment
Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts
Nice to have
Knowledge of HTML, CSS, JavaScript and Gradle
Experience in the insurance domain or the financial industry
Familiarity with Microsoft Power BI
Exposure to Machine Learning or Generative AI technologies