Senior Data Engineer

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.

Requirements

• Bachelor’s degree level or equivalent in Computer Science, Data Science or similar discipline
• At least 10 years of experience working with large scale software systems
• At least 5 years of experience in Pyspark and Proficient in designing Large Scale Data Engineering solutions
• At least 3 years of Experience working with Palantir Foundry
• Experience working with large data sets on enterprise data platforms and distributed computing (Spark/Hive/Hadoop preferred)
• Experience with TypeScript/JavaScript/HTML/CSS a plus
• Knowledge of data management fundamentals and data warehousing principals
• Demonstrated strength in data modelling, ETL and storage/Data Lake development
• Experience with Scrum/Agile development methodologies
• Experience working in a Cloud environment such as Palantir Foundry
• Knowledge of Insurance Domain, Financial Industry or Finance function in other industries is a strong plus
• Experienced in working with a diverse multi-location team of internal and external professionals
• Strong analytical and problem-solving skills
• Self-starter with a positive attitude and a willingness to learn
• Ability to manage own workload; self-directed
• Ability and enthusiasm to work in a global and multicultural environment
• Strong interpersonal and communication skills, demonstrating a clear and articulate standard of written and verbal communication in complex environments

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan

Tagged as: Data Analysis, SQL