Quant Data Engineer (Chinese speaking)

Responsibilities

• Designing, implementing, and maintaining the infrastructure necessary to support the firm's data management processes, including storage, compute, and networking resources
• Troubleshooting and resolving infrastructure-related issues, including hardware and software failures, network connectivity issues, and security vulnerabilities
• Designing, building, and maintaining the data pipelines and systems necessary to support the firm's fundamental data analysis and trading strategies
• Developing and implementing data quality checks and monitoring processes to ensure the integrity of our data
• Collaborating with data scientists, portfolio managers, and traders to understand their data requirements and developing solutions to meet their needs
• Building and maintaining databases, warehouses, and data lake to support reporting, analysis, and research
• Implementing ETL processes to extract data from various sources and transforming it into a structured format suitable for analysis
• Developing and maintaining database backup and recovery procedures to ensure the availability of critical data
• Monitoring the performance of Airflow workflows and making recommendations for optimization and improvement
• Participating in on-call rotation for infrastructure-related incidents

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience
• Familiarity with ETL processes, data modeling, and database design principles
• Familiarity with database systems such as SQL Server, PostgreSQL, or MySQL
• Familiarity with database backup and recovery procedures, database security, and disaster recovery planning
• Familiarity with data replication, VLDB design, query optimization, and performance troubleshooting
• Familiarity with block, protocol (NFS / SMB) file systems
• Familiarity with object storage
• Familiarity with Airflow DAG
• At least 3 year of experience in Python and ETL related libraries such as pyodbc, SQLAlchemy, and Django
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills, with the ability to work effectively as part of a team