Who We Are
OKX is revolutionising world systems through our cutting-edge digital asset exchange, Web3 portal and blockchain ecosystems. We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology and to date, we have 50+ million users, 3000+ employees and 180+ countries believing in the same vision as us. We are safe and reliable, backed by our Proof of Reserves. As strong supporters of the Arts and Sports, we are proud partners of @McLarenF1 @ManCity @Tribeca.
About the Opportunity
OKX Data team is responsible for the whole data scope of OKG. From technical selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science, we are a collection of data engineers, data analysts, and data scientists. The team has end-to-end ownership of the data at OKX throughout the whole data lifecycle including data ingestion, data ETL, data warehouse, and data services. As a data engineer, you will work with the team to leverage data technologies to empower evidence-based decision-making, and improving the quality of the company's products and services. Being a part of the risk domain, you'll have the opportunity to dive into risk behavior analysis and risk strategy/model development.
What You’ll Be Doing
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Responsible for offline data warehouse creation, including ODS, DWD, DWS and ADS layer. This will be done on both Alicloud and AWS platforms.
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Creating real-time data warehouse by using tools like flink, hologress, aurora etc. to build resilient and efficient real-time data pipelines.
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Risk data mart creation, and optimizing code to be resource-friendly and readable.
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Last but not least, you'll be ensuring data integrity and scalability through enforcement of data standards. You'll also be improving data validation and monitoring processes to proactively prevent and identify issues. Also, driving resolutions to those issues.
What We Look For In You
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Minimum 5 plus years of data engineering experience
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Solid experience with data processing tools such as Spark, Flink, etc
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Solid experience implementing batch and streaming data pipelines
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In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting
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Be proficient in SQL, familiar with advanced SQL/FlinkSQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions.
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Familiar with AWS Data Pipeline
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Solid experience in programming languages such as Hive-SQL, Python, Java, Spark
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Self-driven, innovative, collaborative, with good communication and presentation skills
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Fluent in both Mandarin and English, both written and spoken.
Nice to Haves
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Familiar with Alicloud Data Engineering process
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Risk related job experience, payment industry and payment risk are best
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Familiar with DevOps tools such as Git, Docker, k8s
Perks & Benefits
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependents
Okcoin Statement:
The salary range for this position is $159,000 to $239,000. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site.
Okcoin is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment-qualified applicants with arrest and conviction records.