Financial Data Engineer, AI/LLM

📋 Description

• Conduct research, technical evaluation, ingestion, integration, cleansing, standardization
• Design scalable unified data models and integration frameworks, handling different markets' trading
• Build batch-stream unified data pipelines centered on Flink, continuously optimizing latency
• Establish data quality and service level frameworks, taking responsibility for completeness
• Evaluate different sources (vendors, exchanges, APIs, file feeds, compliance collection) for
• Define data semantics, metric definitions, and service contracts jointly with trading product, data

🎯 Requirements

• Master's degree or above in Computer Science, Software Engineering, Mathematics, Statistics, or
• Familiar with stock markets and the investor research and decision-making workflow; understand
• Proficient in SQL and Flink, with experience in large-scale real-time data processing, performance
• Proficient in at least one of Java, Scala, or Python; familiar with Kafka, Spark, and ClickHouse
• Familiar with data modeling, task scheduling, metadata, data lineage, data governance, and service
• High standards for data quality; able to design reproducible reconciliation, anomaly detection

🎁 Benefits

• Be a part of the world's leading blockchain ecosystem that continues to grow and offers excellent
• Work alongside diverse, world-class talent in an environment where learning and growth
• Tackle fast-paced, challenging and unique projects
• Work in a truly global organization, with international teams and a flat organizational structure
• Competitive salary and benefits
• Flexible working hours, remote-first, and casual work attire