Data Analytics Engineer

Summary

Join Flipster, a leading trading platform connecting investors to crypto opportunities, as a Data Analytics Engineer. You will be a key player in transforming data into actionable insights, working closely with various teams. This global remote role requires designing and optimizing data pipelines and models within the BigQuery ecosystem. You will optimize SQL queries, contribute to data governance, and ensure data quality. The ideal candidate possesses strong SQL proficiency, data modeling skills, and experience in a fast-paced environment. Bilingualism in Korean and English is required.

Requirements

• Bachelor's degree in Computer Science or a related field
• 2-7 years of professional experience
• Strong proficiency in SQL and experience with data modeling for analytics
• Strong problem-solving skills, ability to learn quickly, and adapt
• Strong desire to improve on inefficient processes
• Positive attitude and ability to receive and provide objective and constructive feedback
• Cultivate strong partnerships with cross-functional stakeholders
• Capable of participating in meetings and discussions in both Korean and English

Responsibilities

• Design, implement, and optimize data pipelines and data models to support reporting, dashboards, and advanced analytics in the BigQuery ecosystem, GCP
• Optimize SQL queries and data processing logic for performance and cost-efficiency
• Contribute to data governance, documentation, and best practices for analytics engineering
• Ensure data quality by applying strong data debugging skills and attention to detail
• Adapt to a fast-paced, evolving environment with ambiguous requirements
• Work closely with various global cross-functional teams, applying strong communication and technical expertise to resolve technical challenges

Preferred Qualifications

• Hands-on industry experience in software development
• Self-driven, proactive personality and critical thinking
• Experience in a cryptocurrency exchange or fintech company
• Experience working with web-scale datasets
• Experience in distributed computing
• Experience in Cloud/Big Data Platforms (e.g., AWS, GCP, Beam, Spark etc.)