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EPAM is looking for a skilled&nbsp;Senior Palantir Data Engineer&nbsp;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 &amp; 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. #LI-DNIResponsibilities<ul><li>Lead the design and implement robust, large-scale data pipelines and analytics solutions</li><li>Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages</li><li>Optimize data workflows to support critical decision-making processes</li><li>Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges</li><li>Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies</li><li>Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property &amp; Casualty value chain</li><li>Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem</li></ul>Requirements<ul><li>A Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline</li><li>5+ years of experience working with large-scale distributed computing systems</li><li>Proficiency in Python/PySpark to build and optimize complex data pipelines</li><li>Hands-on experience working with Databricks for large-scale data processing and analytics</li><li>Strong SQL skills (preferably Spark SQL) for data querying and manipulation</li><li>Deep understanding of data warehousing concepts and ELT techniques</li><li>Experience with Palantir Foundry is a must</li><li>Familiarity with Agile and Scrum development methodologies</li></ul>Nice to have<ul><li>Knowledge of HTML, CSS, JavaScript and Gradle</li><li>Experience in the Insurance domain or the financial industry</li><li>Familiarity with Microsoft Power BI</li><li>Exposure to Machine Learning or Generative AI technologies</li></ul>We offer<ul><li>Private healthcare insurance</li><li>Global travel medical and accident insurance</li><li>Regular performance assessments</li><li>Referral bonuses</li><li>Family friendly initiatives</li><li>Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li>*All benefits and perks are subject to certain eligibility requirements</li></ul>

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

We are looking for a&nbsp;Lead Databricks Engineer&nbsp;with expertise in cloud infrastructure, big data processing, data integration and analytics, particularly with Azure.In this role, you will play a crucial part in advancing our client’s Data-Driven Company initiative within the insurance sector. Your role will involve designing and building robust data architecture to support various aspects of the client’s business.This position is integral to one of our projects in the client’s Finance IT area, focusing on the integration component of their finance landscape. Proficiency in SQL and Azure Data Factory is essential for success in this role. Join us at our Cyprus office, which offers a flexible hybrid work setup. If you're ready to leverage your skills and perspective to make a significant impact, apply now and help us transform our data capabilities in the finance and insurance industries. #LI-DNIResponsibilities<ul><li>Data integration, transformation and modeling</li><li>Serving large amounts of structured &amp; semi-structured financial data</li><li>Analyze existing process logic</li><li>Implement best practices in data architecture, including security, governance, compliance and performance optimization</li><li>Optimize the data storage across Delta Lake for data management</li><li>Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity</li><li>Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization</li></ul>Requirements<ul><li>At least 5+ years of professional experience in the data engineering field</li><li>Proficiency in Azure Databricks, Delta Lake, Python and PySpark for data manipulation</li><li>Proficiency in designing and optimising pipelines using Azure Data Factory, including performance tuning and optimising data pipelines with Databricks Notebooks</li><li>Experience with Azure data platforms and related services</li><li>Good understanding of SQL and experience with relational database systems (e.g. MSSQL, PostgreSQL, Oracle DB)</li><li>Understanding data structures, data modelling and data architecture patterns (Data Lake, DWH, Data mesh, etc.)</li><li>Ability to work in an agile environment and eager to learn and develop new skills</li><li>Good problem-solving skills and attention to detail</li><li>Strong written and spoken English</li></ul>Nice to have<ul><li>Certifications in Azure data or Cloud Services (e.g., Azure Data Engineer Associate)</li><li>Business understanding of the insurance or financial domain</li><li>Experience with BI Tools (Power BI)</li></ul>We offer<ul><li>Private healthcare insurance</li><li>Global travel medical and accident insurance</li><li>Regular performance assessments</li><li>Referral bonuses</li><li>Family friendly initiatives</li><li>Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li>*All benefits and perks are subject to certain eligibility requirements</li></ul>

Lead Databricks Engineer (relocation to Cyprus)

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senior palantir data engineer (python/pyspark) (relocation to cyprus)

EPAM Global

lead databricks engineer (relocation to cyprus)

EPAM Global

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