Data Engineer

4 weeks ago

Singapur, Singapore Tower Research Capital Full time
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 Automating infrastructure deployment and maintenance processes to improve efficiency and reduce the risk of human error 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 database performance and tuning database parameters to optimize system performance Providing technical support for database-related issues, including troubleshooting and problem resolution Developing and maintaining Airflow workflows to support our data pipelines, ensuring that they are reliable, efficient, and scalable Monitoring the performance of Airflow workflows and making recommendations for optimization and improvement Providing technical support for Airflow-related issues, including troubleshooting and problem resolution Staying up-to-date with the latest trends and technologies in data engineering and financial services, and recommending improvements to our systems and processes accordingly 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 2 years 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

Benefits

Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

Competitive salary and discretionary bonuses 5 weeks of paid vacation per year Breakfast, lunch, and snacks on a daily basis International medical insurance Free gym membership For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution Free events and workshops Donation matching program

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