Senior Palantir Data Engineer (Python/Pyspark)

Are you passionate about solving complex big data analytics problems using cutting-edge technologies?EPAM is looking for a skilled Senior Palantir Data Engineer to join our growing, globally distributed team.In this role, you’ll work on a high-impact Data Transformation project with our client from the insurance sector. This initiative leverages Big Data and Machine Learning technologies to shape data-driven decisions 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! We offer a hybrid work model with a mix of remote and on-site work at EPAM’s Nicosia office. ResponsibilitiesLead 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  RequirementsA 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  Nice to haveKnowledge 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  We offerPrivate healthcare insuranceGlobal travel medical and accident insuranceRegular performance assessmentsReferral bonusesFamily friendly initiativesLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more*All benefits and perks are subject to certain eligibility requirements