Database Systems Architect
11 hours ago
The role involves designing and implementing high-performance, scalable database systems that handle vast volumes of financial market data.
Key Responsibilities:
- Data Management and Modeling: Design, implement, and maintain database schemas for storing and retrieving time-series financial data.
- ETL Process Development: Develop and optimize ETL processes for ingesting data from various market sources in real-time.
- API Development and Integration: Write robust APIs to provide programmatic access to both historical and real-time market data for internal and external users.
- Performance and Scalability: Architect and manage database solutions capable of handling extremely high write and read loads associated with tick-by-tick data.
- System Maintenance and Monitoring: Monitor database performance, conduct regular health checks, and troubleshoot issues in a high-pressure environment.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Database Engineer, Data Engineer, or similar role.
- Strong proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and non-relational databases (e.g., MongoDB, Cassandra, InfluxDB).
- Experience with time-series databases is highly desirable.
- Solid programming skills in Python, Java, or C++.
Desirable Skills:
- Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
- Knowledge of financial markets and the unique challenges of handling market data.
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