Offer summary

Qualifications:

Proficiency in dimensional modeling theory, Strong coding and SQL skills, Experience in developing real-time systems, Familiarity with AWS technology ecosystem.

Key responsabilities:

Develop and maintain business data warehouse and thematic indicator systems

Design and implement technical architecture for data services

Lead data governance initiatives

Job description

About BingX

A leading crypto exchange.
More than 10 million registered users worldwide.
750+ spot trading currencies and 400+ futures targets.
17,000+ elite traders, with 600 million+ cumulative copy trading orders.
Top ranking exchange on CoinMarketCap and CoinGecko.
We aim to build a gateway for the next billion crypto users.

Founded in 2018, BingX is a leading cryptocurrency exchange serving global users. BingX offers diversified products and services, including spot, derivatives, copy trading, and asset management – all designed for evolving needs of users, from beginners to professionals.

BingX is committed to providing a trustworthy platform that empowers users with innovative tools and features to elevate their trading proficiency.

Our current vacancy | Full-time | Long-term | REMOTE

We are seeking a Big Data Developer to lead the construction of our business data warehouse and thematic indicator systems to meet the data requirements of various business lines. The role involves designing and implementing the technical architecture for offline data application services (e.g., data synchronization, offline ETL) and optimizing data link performance. Additionally, this position will be responsible for data governance tasks to manage business data assets effectively.

Responsibilities:

Develop and maintain the business data warehouse and thematic indicator systems to support data needs across different business lines
Design and implement the technical architecture for offline data application services, such as data synchronization and offline ETL, to optimize data link performance
Lead data governance initiatives to achieve effective management of business data assets

Qualifications:

Proficiency in dimensional modeling theory with experience in data warehouse model design, a deep understanding of data warehouse systems, and support for actual business scenarios
Strong coding and SQL skills, familiarity with common components and basic principles within the Hadoop ecosystem, and knowledge of solutions to common distributed scenarios such as data skew
Excellent communication skills, business acumen, the ability to quickly grasp business contexts, and exceptional ability to bridge technology with business needs
Experience in developing real-time systems or real-time data warehouses is preferred
Familiarity with （Solid knowledge of) the AWS technology ecosystem, with prior experience in constructing data platforms for user profiling, risk control systems, indicator systems, etc., is an advantage