Chubb is looking for individuals passionate about technology to join our Technology Associate Program (TAP). The Technology Associate Program is a two-year program designed for early career IT professionals to help them develop expertise and technical acumen as a technologist. By joining the Technology Associate Program, you will be offered the following:
On-the-job and educational technical training (offered through Pluralsight) to enhance skills within your chosen discipline
Business acumen and professional development training specific to IT and an understanding of our broader industry
Networking opportunities with IT and Business leaders and TAP associate peers
Hackathons
Position Summary:
The Data Engineer will work with the business to understanding data requirements and will become a data platform expert in designing and building data solutions focused on Cloud-based Big Data ecosystems. You will work closely with other data science teams and take ownership of your projects and deliver high-quality data-driven advanced analytics applications. You will solve diverse business problems by utilizing a variety of different tools, strategies, algorithms and programming languages.
What about you?
You are highly collaborative, creative, and intellectually curious individual who is passionate about data engineering and supporting cutting-edge computing capabilities.
You are able work well, both individually and within a team.
You are adaptable and able to overcome technical challenges.
You are a self-starter and motivated to learn and succeed.
You are data driven and are able to identify and solution problems as they arise.
Responsibilities:
Collaborate and work with global data management stakeholders to identify requirements for complex business problems that may be loosely defined.
Work with the business, applications owners, solutions architects, and with technical architects to understand the implications of respective data architectures to maximize the value of information across the organization.
Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance to industry best practices models.
Identify, evaluate and implement leading edge data management frameworks required to address complex large-scale data challenges.
Work within multi-functional agile teams with end-to-end responsibility for product development and delivery.
Provide architectural support by building proof of concepts & prototypes.
