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Senior Data Warehouse Engineer - Big Data, Flink
Binance —서울
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Backend Engineer (Catalog)
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Backend Engineer (Catalog)
무신사 —서울 성동구
대규모 트래픽 환경에서의 성능 병목을 진단하고 낮은 지연(Low Latency)·높은 처리량(High Throughput)을 달성하는 한편, SLO/SLA 정의, 장애 대응, Post-mortem 리딩 등 시스템 안정성 문화를 조직 전반에 정착시키는 역할도 담당하게 된다.
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Senior Data Warehouse Engineer - Big Data, Flink

Binance -
서울

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정규직

상세 직무 내용

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

Responsibilities

Design and build a scalable and flexible data warehouse system in line with the company’s standards and business requirements, enabling rapid support for analytical needs and reducing redundant development efforts.
Responsible for data model design, development, testing, deployment, and real-time monitoring of data jobs, with strong capability in troubleshooting complex issues, optimizing calculation logic, and enhancing performance.
Contribute to data governance initiatives, including the development of the company’s metadata management and data quality monitoring systems.
Support technical team development through knowledge sharing, continuous learning, and skill enhancement, fostering the team’s overall growth and expertise.

Requirements

5+ years of hands-on experience in data engineering, data lake, or data warehouse development.
Deep expertise in data warehouse modeling and governance, including dimensional modeling, information factory (data vault) methodologies and “one data” principles.
Proficiency in at least one of Java, Scala or Python, plus strong Hive & Spark SQL programming skills.
Practical experience with OLAP engines (e.g., Apache Kylin, Impala, Presto, Druid) and real-time serving systems.
Proven track record of both high-throughput batch pipelines and low-latency streaming pipelines (e.g., Flink, Kafka), with production SLAs for stability, availability, and sub-second freshness.
Familiarity with core Big Data technologies (Hadoop, Hive, Spark, Flink, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
Experience in Web3 data domains (on-chain/off-chain data, token/transaction/holder analytics) and ability to design data services powering online applications.
AWS Big Data service experience is a plus.
Strong analytical and system-design capabilities, with a clear understanding of business requirements into scalable, high-quality data architecture.
Collaborative mindset, skilled at building partnerships across teams and stakeholders.
Preferred: Experience managing petabyte-scale data in Internet environments and resolving critical real-time production incidents.
Bilingual English/Mandarin is required to be able to coordinate with overseas partners and stakeholders.

Why Binance

Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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