Design and maintain Python-based automation scripts using Pytest and Requests to simulate thousands of real-time trades and stress-test trading platforms
Validate ETL/ELT processes within AWS, ensuring data flows correctly from ingestion to storage and identifying data loss or transformation errors
Execute advanced SQL queries against MySQL, Snowflake, and Hive databases to verify data accuracy, consistency, and completeness
Identify performance bottlenecks in the data product lifecycle and work with developers to optimize under high load
Conduct root cause analysis tracing issues to specific services, API endpoints, or database procedures
Support releases during off-business hours and provide ad hoc support to ensure system reliability
Required Skills
Python — writing scripts from scratch to generate test data, mock APIs, and simulate traffic
Advanced SQL — complex joins and window functions across large datasets