Senior QA Analyst

Venture outside the ordinary - TMX Careers

The TMX group of companies includes leading global exchanges such as the Toronto Stock Exchange, Montreal Exchange, and numerous innovative organizations enhancing capital markets. United as a global team, we’re connecting cross-functionally, traversing industries and geographies, moving opportunity into action, advancing global economic growth, and propelling progress. Through a rich exchange of ideas, meaningful collaboration, and a nimble operating model, we're powering some of the nation's most critical systems, fueling capital formation and innovation, bringing increased opportunity to business visionaries, product ingenuity to consumers, and career exploration to our team.

We are looking for a technical Senior QA Analyst to join our Datalinx cluster. This is a backend-heavy engineering role focused on high-volume trade simulation and data integrity.

You will use Python to build automation frameworks that simulate thousands of real-time trades, ensuring our systems can handle market volatility. You will use complex SQL to deep-dive into our databases, validating that every byte of data flowing through our AWS pipelines is accurate, compliant, and timely.

If you enjoy breaking data pipelines, automating complex scenarios, and working in a high-stakes trading environment, this is the role for you.

• Build Simulation Frameworks:
  Design and maintain Python-based automation scripts (using Pytest/Requests) to simulate thousands of real-time trades and stress-test our trading platforms.

• Data Pipeline Validation:
  Validate ETL/ELT processes within AWS. Ensure data flows correctly from ingestion to storage, identifying data loss or transformation errors.

• Deep-Dive Analysis:
  Execute advanced SQL queries against MySQL/Snowflake/Hive databases to verify data accuracy, consistency, and completeness across the Datalinx ecosystem.

• Performance Engineering:
  Identify bottlenecks in the data product lifecycle. Analyze how the system behaves under high load and work with developers to optimize performance.

• Root Cause Analysis:
  Go beyond "reporting bugs." Trace issues back to the specific service, API endpoint, or database procedure causing the failure.

• Language:
  Python (Heavy scripting, Pytest, Pandas, Requests).

• Database: SQL (MySQL, Snowflake, Hive, Athena).
  Cloud: AWS (S3, Data Pipelines, EC2, EMR, Lambda functions, REST APIs).

• Tools:
  Git Hub, JIRA, Confluence

• 5+ years in Software Quality Assurance with a specific focus on Data QA and Backend Automation.
  Python Expertise:
  You aren't just running scripts; you can write Python code from scratch to generate test data, mock APIs, and simulate user traffic.

• Advanced SQL
  
  Skills:
  
  You can write complex joins and window functions to validate large datasets without relying on a GUI.

• AWS & Cloud Data:
  Proven experience testing data pipelines and understanding how data moves through cloud infrastructure (AWS preferred).

• API Testing:
  Strong experience testing RESTful APIs and integrating them into automation suites.

• Performance Testing:
  Experience with load testing tools and strategies (simulating high-volume transactions).

• Capital Markets
  
  Experience:
  
  Understanding of equity markets, trade life cycles, and financial instruments.

• Big Data Tech:
  Experience with Hadoop, Spark, or Hive.

• Shell Scripting:
  Comfortable working in a Linux environment.

Please note that the salary range included is a guideline only. The salary offered may vary based on factors, including, but not limited to, the successful candidate’s relevant knowledge, skills, and experience.

The recruiting efforts for this role are intended to fill a vacant position.

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