Data Operations
Core
Ensuring data reliability, accuracy, and availability for global trading and research operations by monitoring pipelines and implementing SRE principles.
Role type
Data Operations Engineer (SRE)
Builds
Reliable, high-quality data pipelines and observability tooling for financial markets
Domain
Financial markets / Data Engineering / Site Reliability Engineering
Deliverable
production ML models | infrastructure
Required skills
SQL, ETL processes, Python, Scala, C++, root-cause analysis, automation, system resilience, debugging
Preferred skills
Databricks, data observability platforms, distributed/cloud-based data systems, alerting and monitoring tools (Grafana, Prometheus, Airflow), financial data pipelines, low-latency trading environments
Responsibilities
Monitor and optimize data pipeline performance and stability; Design and maintain data quality tests; Investigate data incidents and implement preventive measures; Apply SRE principles to enhance reliability and recovery; Develop automation and tooling to reduce manual intervention; Collaborate with data engineers and market data teams
Seniority
Mid-level, hands-on IC