About the company
About OKX OKX is a leading crypto trading app, and a Web3 ecosystem. Trusted by more than 20 million global customers in over 180 international markets, OKX is known for being the fastest and most reliable crypto trading app of choice for investors and professional traders globally. Our Singapore office is a Product and Engineering hub and we are in the progress of expanding our teams in Singapore for the continuous growth of our global business. We build and maintain core trading platform with millions of daily active users. Design, Product and Engineering teams work cross-functionally to identify customer needs, and ship high-quality new features through fast iterations.
Job Summary
What you will be doing
📍You will be responsible for designing and building offline data warehouses, including the ODS, DWD, DWS, and ADS layers, across both Alicloud and AWS platforms. 📍You will develop and manage real-time data warehouses, leveraging tools such as Flink, Hologress, and Aurora to build resilient, efficient, and scalable real-time data pipelines. 📍You will oversee the creation and optimization of risk datamarts, focusing on writing efficient, resource-friendly, and maintainable code. 📍You will ensure the integrity and scalability of data systems by enforcing data standards, improving data validation processes, and enhancing monitoring procedures to proactively identify and resolve issues.
What We Look For In You
📍Minimum 5 years of experience in data engineering, with a proven track record in building and optimizing data pipelines. 📍Strong proficiency with data processing tools such as Apache Spark and Apache Flink. 📍Extensive experience in developing both batch and streaming data pipelines. 📍In-depth expertise in SQL and NoSQL databases, including advanced skills in performance tuning and troubleshooting. 📍Advanced proficiency in SQL, with familiarity in FlinkSQL features, such as window functions, aggregate functions, and the creation of scalar functions and user-defined functions. 📍Knowledge of and experience with AWS Data Pipeline and related tools. 📍Strong programming skills in Hive-SQL, Python, Java, and Apache Spark. 📍A self-motivated, innovative team player with excellent collaboration, communication, and presentation skills.
