Senior/Staff Data Engineer, Risk Control

Amit érdemes tudni

• Irodai · Ismeretlen
• Nincs elég földrajzi bizonyíték a magyarországi jogosultsághoz.
• Szint: Lead
• Fizetés: nem közölt

Helyszín és jogosultság

Nincs elég földrajzi bizonyíték a magyarországi jogosultsághoz.

Singapore, Singapore

Megbízhatóság: 34%. A végső döntés a munkáltatóé – mindig olvasd el az eredeti hirdetést.

Pozíció

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 visualization 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:

Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines.

Design and implement the technical architecture for offline and real-time data application services, and optimize the performance of data pipelines.

Develop reporting data and interface (API) data for the data mart.

Requirements:

Bachelor’s degree or higher from an accredited university in Computer Science or a related field, with 4+ years of industry experience.

Experience with Real-time Data Engineering, having used technologies like Flink

Solid understanding of data warehouse modeling theory, with hands-on experience in data warehouse model design, in-depth knowledge of data warehouse architecture, and a track record of supporting real-

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