Jr. Data Engineer - Technology Associate Program
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.
- 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.
Desired Qualifications:
- Excellent data analysis skills
- Experience in performing analysis and design for data management and data driven projects.
- Exposure or knowledge of tools such as T-SQL on Spark SQL, ANSI SQL etc.
- Experience or exposure tof R, Python, Jupyter Notebook, RStudio, R Shiny, etc.
- Experienced in programming languages such as python, scala, java, clojure or groovy
- Familiarity with data science and analytic tool sets such as jupyter hub
- Bachelors Degree
Bonus Skills:
- Exposure or experience with Cloud Platforms
- Experience in designing and leading the conceptual, logical and physical design for distributed databases.
- Experience with operating system command languages such as bash or ksh
- Experience with development tools such as git and integrated development environments
- Understanding of the SAFe Agile development methodology