As a data engineer, you will be involved in a variety of data-related businesses.
Data foundation construction, data analysis, SaaS development, generative AI-related development, etc., can challenge various businesses according to your ambition and experience.
※ Allocation units within the company will be determined in consultation with you based on your experience and wishes
[Details of work]
Design, build, test, develop, maintain and operate the data base
Data pipeline design, build and operation of SaaS analytics services
Generate customer support in AI import
· Career Advancement Activities
Engineer member management and team building
[Data Engineering]
※ All of the following 5 + years of experience
Team system development and operational experience
Experience with the development and operation of Python
Cloud Infrastructure Development and Operations Experience
Experience building and applying data analytics foundations
[Infrastructure Management]
Build and manage public cloud resources like AWS using IaC tools like Terraform
Docker container technology development experience
[Other]
Snowflake experience
Experience in using and building BI tools
preferred experiences
Organizational experience
Team management experience
We are looking for
· Ability to develop customer-oriented
Frequently think about what the customer wants, and thereby reverse the prioritization of development.
· Ownership of product growth
Treat product growth as your own business and be passionate about delivering value to your customers through your products.As long as it is for the growth of the product, you can actively contribute to things other than your own responsibility.
· Leads others to move things forward
When solving a problem, not solving it alone, but advancing with the members around you.
Is able to prioritize team outcomes over own outcomes.
Curious and eager to learn
Learning in the field of engineering is self-evident, and you can greedily enter all kinds of knowledge required for product improvement.
What you learn doesn't end there, it can be applied to your business.
· Ability to be vulgar and detail-oriented
For clean data and valuable analysis, every corner of the data can be carried out meticulously and meticulously.