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United States Digital Space LLC

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Data Engineer, Product Data Development

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Summary

Build and optimize offline and real-time data pipelines using Hadoop, Hive, Flink, and Kafka for a leading crypto exchange to support product data development and business intelligence.

The company will be prioritising applicants who have a current right to work in Singapore, and do not require the company's sponsorship of a visa.

Who We Are At the company, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. the company is a leading crypto exchange and the developer of the company wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). the company 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. the company is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products the company, the company wallet, OKLink and more.

About the team the company 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 the company 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

Proficient in mainstream cloud computing and big data technologies such as Hadoop, Hive, Flink, YARN, Elasticsearch (ES), Kafka, etc.

Expert in real-time big data processing using Flink, with solid experience in Flink SQL development.

Build and optimize offline and real-time data pipelines to ensure data timeliness and accuracy.

Independently manage end-to-end business requirements, responsible for the R&D design and construction of the online (customer-facing) product data pipeline, including performance optimization, and empower business growth through data products and services.

Requirements

Bachelor’s degree or higher from an accredited university in Computer Science or a related field.

3+ years of experience independently handling end-to-end business requirements, with strong self-motivation, a high sense of responsibility, excellent communication and teamwork skills, and a passion for continuous learning and self-challenge.

Proficiency in both English and Chinese (listening, speaking, reading, and writing).

Skills

See also

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