OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX’s sponsorship of a visa.
Who We Are:
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual’s freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team:
OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualisation to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company’s products and services.
Responsibilities:
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Responsible for the development of a Data Warehouse for the Risk Control business domain and a thematic indicator system, supporting the data needs of various Risk Control business lines
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Responsible for the technical architecture design and implementation of offline and real-time Data Application services, and optimizing Data Link performance
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Responsible for the development of report data and interface data for the Data Mart
Requirements:
- At least 6 of more years of experience in a Data Engineering or Data Warehousing related field
- Practical experience in building offline and real-time Data Warehouses
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Familiarity with Data Warehouse Modeling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios
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Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems is preferred
Good to have:
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Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
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Experience in R&D of real-time big data systems and real-time data warehouses
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 dependants
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More that we love to tell you along the process!
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