PrestoPR

Data Analytics Engineer

We're a quantitative trading firm, established in Singapore back in 2014.

Presto

Employee count: 201-500

Singapore only
🚀 About Flipster
Flipster(flipster.io) is a next-level trading platform that is connecting investors to insight, and new opportunities brewing in the cryptoverse. We uncover exclusive opportunities and provide a high-performance platform to put them to work. We believe in an exciting, bold future for crypto. A decentralized, well-governed space, that sparks progress for investors, traders and amazingly innovative crypto projects simultaneously. Flipster will unlock access to ideas we can't even imagine yet. We aim to propel their development and uncover potential.

As a Data Analytics Engineer at Flipster

You will be at the intersection of data engineering and analytics, transforming data into meaningful insights that deepen the understanding of the business landscape and drive key decisions. You will work closely with data analysts, business analysts, and cross-functional teams to design scalable data models, optimize queries, and develop robust data pipelines that support analytical workloads.

Location: This is a global remote role.

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.

Qualifications

  • 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.

Preferred

  • 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.).

Hiring Process

  • Resume/CV submission
  • 1st Round Interview
  • 2nd Round Interview

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

Singapore +/- 0 hours

About Presto

Learn more about Presto and their company culture.

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We're a quantitative trading firm, established in Singapore back in 2014. We build automated trading systems fueled by data-driven quantitative analysis to achieve stable and sustainable investment returns. Our engineering teams do what humans do best – create algorithmic decision processes in order to achieve what no human trader ever could in today’s fast-changing, unbelievably complex financial world.

Data is at the core of everything we do. And every bit and byte is sanitized and cross-validated before research can begin. We love fresh ideas and new perspectives. But before any new strategy or predictive model can be considered, human bias must be removed. Our risk management system enables safer trading operations and has been applied to our in-house trading platform. Orders are only carried out within the agreed risk parameters and are monitored in real-time.

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Presto

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Presto hiring Data Analytics Engineer • Remote (Work from Home) | Himalayas