Senior Palantir Data Engineer (Python/Pyspark) (relocation to Cyprus)
EPAM Systems
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 solutionsOversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languagesOptimize data workflows to support critical decision-making processesHarness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challengesPartner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategiesContribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property & Casualty value chainStay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystemRequirementsA Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline5+ years of experience working with large-scale distributed computing systemsProficiency in Python/PySpark to build and optimize complex data pipelinesHands-on experience working with Databricks for large-scale data processing and analyticsStrong SQL skills (preferably Spark SQL) for data querying and manipulationDeep understanding of data warehousing concepts and ELT techniquesExperience with Palantir Foundry is a mustFamiliarity with Agile and Scrum development methodologiesNice to haveKnowledge of HTML, CSS, JavaScript and GradleExperience in the Insurance domain or the financial industryFamiliarity with Microsoft Power BIExposure to Machine Learning or Generative AI technologiesWe offer/Benefits
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Wed, 16 Jul 2025 03:30:27 GMT
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