Description:

Flipster is a next-level trading platform connecting investors to insights and opportunities in the cryptoverse.
The Data Analytics Engineer will transform data into meaningful insights to support business decisions.
Responsibilities include designing, implementing, and optimizing data pipelines and models in the BigQuery ecosystem on GCP.
The role involves optimizing SQL queries for performance and cost-efficiency and contributing to data governance and best practices.
Ensuring data quality through debugging skills and attention to detail is essential.
The position requires adaptability to a fast-paced environment with ambiguous requirements.
Collaboration with global cross-functional teams is necessary, utilizing strong communication and technical skills to resolve challenges.

Requirements:

A Bachelor's degree in Computer Science or a related field is required.
Candidates should have 2-7 years of professional experience.
Strong proficiency in SQL and experience with data modeling for analytics is necessary.
Candidates must possess strong problem-solving skills and the ability to learn quickly and adapt.
A strong desire to improve inefficient processes is essential.
A positive attitude and the ability to give and receive constructive feedback are required.
Candidates should be capable of cultivating strong partnerships with cross-functional stakeholders.
Proficiency in both Korean and English for participation in meetings and discussions is required.

The position offers a global remote work environment.
Employees will have the opportunity to work at the intersection of data engineering and analytics.
The role provides a chance to contribute to a cutting-edge trading platform in the cryptocurrency space.
Employees will engage in a dynamic and evolving work environment that fosters professional growth and development.