Scalable Data Pipelines Expert
3 weeks ago
Eames Consulting, a leading consulting firm, is partnering with a prominent speciality Insurance firm to establish a skilled Pricing Data engineering team.
Main Objectives:
- Establish and maintain large-scale data pipelines using Spark-based architectures to support critical pricing operations.
- Conceptualise and implement novel solutions that significantly improve the company's reliance on data-driven insights.
- Collaborate with interdepartmental teams consisting of Data Engineers, Pricing Actuaries, and Modelers to craft accurate predictive pricing models.
- Develop thorough familiarity with the company's technology infrastructure, data frameworks, and systems.
- Guarantee that delivered projects comply with industry-standard data engineering best practices and participate in peer code review sessions.
- Support the creation of user-friendly reporting dashboards and data visualisation tools for key business stakeholders.
Key Requirements:
- A minimum of 4 years of experience in designing and implementing data-centric solutions utilising Python, SQL, and/or PySpark, preferably within the insurance domain.
- A Bachelor's or Master's degree in a numerical discipline, such as Computer Science or Data Engineering, or comparable work experience.
- Demonstrated expertise in Extract-Transform-Load (ETL) processes, merging diverse data sources into reliable production environments.
- Excellent analytical, debugging, and problem-solving abilities.
- Capacity to drive individual professional growth and development.
Salary Range: This position may carry a salary of $160,000 - $220,000 per annum, contingent upon the specific job requirements and geographical area.
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