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Senior Staff Data Engineer Product Data Development

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Summary

Senior staff data engineer at crypto exchange OKX in Singapore, owning the customer-facing product data pipeline end to end — building and optimizing offline and real-time pipelines using Flink, Kafka, Hadoop/Hive, Elasticsearch, and big-data platforms like MaxCompute, Spark, Databricks, and StarRocks/Doris.

About Us 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 technical 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.

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

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) .

Familiar with

data warehouse modeling , with successful experience in designing and refactoring

large-scale data warehouses .

Mastery of multiple big data architectures, especially

Alibaba Cloud DataWorks/MaxCompute ,

AWS Spark ,

Databricks , and

StarRocks/Doris .

In-depth understanding of real-time processing, expert in

Flink performance tuning and stress testing , and

Flink source code reading

experience is preferred.

Preferred Qualifications

IELTS score of 7 or above

in all four components.

3+ years of work experience

in English-speaking regions.

Experience in

cross border e-commerce , and familiarity with

multi-country, multi-language architectural design

is a plus.

Solid foundation in

Java , with

backend development experience .

Perks & Benefits

Competitive total compensation package

L&D programs and Education subsidy for employees' growth and development

Various team building programs and company events

Wellness and meal allowances

Comprehensive healthcare schemes for employees and dependants

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