The opportunity
About Binance Binance is the global leading blockchain ecosystem, operating the world's largest digital asset trading platform by volume, serving over 300 million users across 100+ countries and regions. We are committed to building a more open financial ecosystem and improving global access to financial services.
What you'll do
Conduct research, technical evaluation, ingestion, integration, cleansing,: standardization, computation, storage, and servicing of financial market data, covering securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and business-required product and risk data; responsible for source ingestion, raw retention, and stable delivery to knowledge engineering pipelines for content-type data such as announcements, news, and research reports.
Design scalable unified data models and integration frameworks, handling: different markets' trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections, supporting rapid onboarding of new markets and sources.
Build batch-stream unified data pipelines centered on Flink, continuously: optimizing latency, throughput, query performance, stability, and cost, while supporting consumer trading products, research analysis, and AI scenarios.
Establish data quality and service level frameworks, taking responsibility: for completeness, accuracy, timeliness, consistency, and traceability; build automated reconciliation, anomaly detection, monitoring and alerting, raw data replay, backfill, and fault recovery capabilities.
Evaluate different sources (vendors, exchanges, APIs, file feeds, compliance: collection) for coverage, quality, stability, revision mechanisms, and technical fit; collaborate with product, procurement, legal, and compliance teams to clarify usage, display, derivative, retention, and redistribution boundaries; drive rational primary/backup source strategies and alternatives.
Define data semantics, metric definitions, and service contracts jointly with: trading product, data platform, AI engineering, and algorithm teams, ensuring consistent and reliable usage of the same stock facts across different products.
What they're looking for
- Master's degree or above in Computer Science, Software Engineering,: Mathematics, Statistics, or related field; 5+ years of experience in data development, big data, or data platforms.
- Familiar with stock markets and the investor research and decision-making: workflow; understand trading mechanisms, market data, fundamentals and financial reports, corporate actions, valuation, and major market events; able to explain the complete pipeline of at least one type of financial data from source to user-facing product and key quality risks.
- Proficient in SQL and Flink, with experience in large-scale real-time data: processing, performance tuning, stability governance, and production issue troubleshooting.
- Proficient in at least one of Java, Scala, or Python; familiar with Kafka,: Spark, and ClickHouse, Doris, HBase, Elasticsearch, or other distributed storage and analytics technologies.
- Familiar with data modeling, task scheduling, metadata, data lineage, data: governance, and service levels; able to independently resolve cross-system data consistency issues.
- High standards for data quality; able to design reproducible reconciliation,: anomaly detection, backfill, and degradation strategies — not just completing data development tasks.
- Experience with data source selection or production ingestion; able to: articulate trade-offs between build vs. buy, multi-source verification, vendor dependency, and alternative solutions.
- Strong business understanding and cross-team collaboration skills; able to: translate trading, risk, research, or AI problems into clear data models and data contracts.
