Senior Palantir Data Engineer (Python/Pyspark) (relocation to Cyprus)

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, youll 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 youre 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, wed love to hear from you! We offer a hybrid work model with a mix of remote and on-site work at EPAMs Nicosia office.

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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

• A Bachelors 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 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

We offer

• Private healthcare insurance
• Regular performance assessments
• Family friendly initiatives
• Corporate Programs including Employee Referral Program with rewards
• Learning 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