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
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