Senior Data Engineer- Palantir Foundry

As a Senior Data Engineer, you will be responsible for designing and implementing complex data pipelines and analytics solutions to support key decision-making business processes in our Property & Casualty business domain. You will gain exposure to a project that is leveraging cutting edge technology that applies Big Data and Machine Learning to solve new and emerging problems for Swiss Re Property & Casualty. 

You will be expected to take end-to-end ownership of deliverables, gaining a full understanding of the Property & Casualty data and the business logic required to deliver analytics solutions.  

Key responsibilities include:      

• Work closely with Product Owners and Architects to understand requirements, formulate solutions, and evaluate the implementation effort. 

• Design, develop and maintain scalable data transformation pipelines. 

• Data model Design, Data architecture implementation 

• Working with Palantir platform for implementation 

• Evaluate new capabilities of the analytics platform, develop prototypes and assist in drawing Development of single source of truth about our application landscape. 

• Collaborate within a global development team to design and deliver solutions 

• Assist stakeholders with data-related functional and technical issues 

• Working with data governance platform for data management and stewardship. 

About the Team: 

This position is part of the Property & Casualty Data Integration and Analytics project within the Reinsurance Data office team under Data & Foundation. We are part of a global strategic initiative to make better use of our Property & Casualty data and to enhance our ability to make data driven decisions across the Property & Casualty reinsurance value chain. 

About You: 

You enjoy the challenge of solving complex big data analytics problems using state-of-the-art technologies as part of a growing global team of data engineering professionals. You are a self-starter with strong problem-solving skills and capable of owning and implementing solutions from start to finish.

Key qualifications include:

• Bachelor's degree level or equivalent in Computer Science, Data Science or similar discipline

• At least 10 years of experience with a focus on large-scale distributed computing systems along with Palantir Foundry experience.

• Should have strong experience in Palantir Foundry along with Pyspark & Python for building and optimizing complex data pipelines 

• Proficiency in SQL(Spark SQL preferred) for data querying and manipulation 

• Extensive knowledge of data warehousing concepts and ELT techniques

• Experienced with Scrum and Agile development approaches

• Working in a cloud environment like Palantir Foundry is advantageous

• Familiarity with HTML, CSS, JavaScript, and Gradle is plus.

• Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus

• Strong analytical and problem-solving skills

• Self-starter with a positive outlook and an eagerness to learn

• Self-directed and capable of managing own workload

• Ability and enthusiasm to work in a global and multicultural environment

• Exhibits strong interpersonal and communication abilities, including clear written and verbal communication in complicated contexts