Data Engineer Palantir Foundry

Role & responsibilities

• Overall, 4 to 6 years of working experience in data engineering and reporting.Typescript experience is mandatory.
• Proficiency in PySpark for data processing and managesment
• Proficiency in Palantir Foundry & its applications (building pipeline using code-repository, creating data-health Checks & Expectations, data analysis in Contour)
• Familiarity with Hadoop and Spark along with optimizing spark-based pipelines
• Data Model Design and implementation based on the requirements
• Able to convert the business problem / situation into technical implementation
• Familiarity with Financial Reporting & Valuations (like IFRS17) is an advantage
• University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Operations Research, Industrial engineering, Computer Science Engineering, Econometrics or Information Technology)

Preferred candidate profile

• Excellent command of spoken and written English
• Standout colleague with ability to build proactive, collaborative working relationships with peers and key partners based on respect and teamwork
• Inquisitive, proactive, and willing to learn new technologies, understand insurance business and its economics
• Process and delivery mindset aspiring for methodological and operational improvements
• Ability to drive the reporting aspects of multiple ad-hoc projects and have good expectation management of partners
• Relevant experience of 2-3 years