Data Analytics Engineer
About Flipster Flipster is an innovative trading platform aimed at connecting investors to insights and new opportunities in the cryptocurrency realm. The company envisions a bold and decentralized future for cryptocurrency, driving advancements for investors, traders, and innovative crypto projects alike, as well as unlocking access to unforeseen ideas.
Job Summary As a Data Analytics Engineer at Flipster, you will play a crucial role in bridging the realms of data engineering and analytics. Your main task will be to transform data into valuable insights that enhance the organization's knowledge of the business landscape and facilitate critical decision-making processes. Collaborating with data analysts, business analysts, and cross-functional teams, you will be responsible for designing scalable data models, optimizing queries, and building robust data pipelines to support analytical workloads.
Key Responsibilities
- Develop, implement, and optimize data pipelines and models to sustain reporting, dashboards, and advanced analytics in the GCP BigQuery ecosystem
- Improve SQL queries and data processing logic to enhance both performance and cost-efficiency
- Contribute to data governance efforts, documentation practices, and encourage best practices in analytics engineering
- Ensure data quality through rigorous data debugging skills and meticulous attention to detail
- Adapt to a rapidly changing and evolving environment with indefinite requirements
- Engage closely with diverse international cross-functional teams, leveraging strong communication skills and technical expertise to resolve technical issues effectively.
Required Qualifications
- Possession of a Bachelor's degree in Computer Science or a related field
- Professional experience ranging from 2 to 7 years
- Proficiency in SQL alongside experience in data modeling for analytics purposes
- Strong problem-solving capabilities, quick learning aptitude, and the ability to adapt to new challenges
- A proactive attitude with a keen interest in streamlining inefficient procedures
- Positive demeanor and readiness to give and receive constructive, actionable feedback
- Demonstrated ability to establish robust partnerships with cross-functional stakeholders
- Proficiency in Korean and English, enabling active engagement in discussions and meetings in both languages
Preferred Qualifications
- Hands-on experience in software development within the industry
- Self-driven with a proactive approach and solid critical thinking abilities
- Prior experience in a cryptocurrency exchange or fintech firm
- Experience working with web-scale datasets as well as in distributed computing
- Familiarity with Cloud/Big Data Platforms such as AWS, GCP, Beam, Spark, among others
Hiring Process
- Submission of resume/CV
- First-round technical interview
- Second-round technical interview
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