Data Platform Operations Engineer – Performance
Core
Ensure reliability, correctness, and performance of production data systems supporting performance analysis and decision-making.
Role type
Senior Data Platform Operations Engineer
Builds
Robust, observable, and efficient data workflows for the Performance Team
Domain
Financial services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, PySpark, Pandas, ETL pipeline management, CI/CD (GitLab), root cause analysis, performance tuning, automation, resource management
Preferred skills
High-throughput systems, workload scheduling, cluster-based compute
Responsibilities
Monitor and maintain ETLs and data pipelines for correctness and stability; Design and maintain data quality checks, reports, and alerting; Investigate and resolve data issues and pipeline failures; Troubleshoot GitLab CI/CD pipeline issues; Monitor workloads and resource usage to resolve imbalances; Build and maintain operational tooling, automation, and runbooks; Continuously tune data pipelines for performance and efficiency
Seniority
Senior, hands-on IC
