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.
**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 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 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
- Global travel medical and accident insurance
- Regular performance assessments
- Referral bonuses
- Family friendly initiatives
- 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
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.
**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 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 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
- Global travel medical and accident insurance
- Regular performance assessments
- Referral bonuses
- Family friendly initiatives
- 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
