Chubb is looking for individuals passionate about technology to join our
Technology Associate Program (TAP). The
Technology Associate Program is a two year program geared to early career
professionals to help them develop expertise and technical acumen as a
technologist. By joining the Technology
Associate Program, you will be offered the following:
Technical training to enhance your skills within
your chosen discipline
Business acumen and professional development
training specific to IT and an understanding of our broader industry
IT Mentorship Program
Networking opportunities with IT and Business
leaders and TAP associate peers.
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.
are adaptable and able to overcome technical challenges.
are a self-starter and motivated to learn and succeed.
are data driven and are able to identify and solution problems as they
Collaborate and work with global data management stakeholders
to identify requirements for complex business problems that may be loosely
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
Build the enterprise conceptual and logical data models for
analytics, operational and data mart structures in accordance to industry best
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
data analysis skills
in performing analysis and design for data management and data driven projects.
or knowledge of tools such as T-SQL on Spark SQL, ANSI SQL etc.
or exposure tof R, Python, Jupyter Notebook, RStudio, R Shiny, etc.
in programming languages such as python, scala, java, clojure or groovy
with data science and analytic tool sets such as jupyter hub
or experience with Cloud Platforms
in designing and leading the conceptual, logical and physical design for
with operating system command languages such as bash or ksh
with development tools such as git and integrated development environments
of the SAFe Agile development methodology