Senior Data QA Analyst
Core
Build Python-based automation frameworks to simulate high-volume real-time trades and validate data integrity within AWS pipelines for global stock exchanges.
Role type
Senior Data QA Analyst (Backend Engineering)
Builds
Trade simulation frameworks, data validation pipelines, and stress-tested trading platforms.
Domain
Capital Markets / Financial Technology / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | research | client delivery | infrastructure | physical/clinical work
Required skills
Python (scripting, Pytest, Pandas, Requests), Advanced SQL (joins, window functions), AWS Data Pipelines, REST API Testing, Performance/Load Testing, Root Cause Analysis
Preferred skills
Capital Markets domain knowledge, Big Data technologies (Hadoop, Spark, Hive), Shell Scripting
Technologies
Python, Pytest, Requests, Pandas, MySQL, Snowflake, Hive, Athena, AWS (S3, EMR, Lambda), GitHub, JIRA, Confluence
Responsibilities
Design and maintain Python automation scripts to simulate thousands of real-time trades; Validate ETL/ELT processes within AWS to ensure data accuracy; Execute advanced SQL queries to verify data consistency across databases; Identify performance bottlenecks under high load; Trace root causes of system failures to specific services or APIs.
Seniority
Senior, hands-on IC