Intermediate QA Engineer, Citi

Citi

Location:
Canada, Mississauga

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

79320.00 - 110680.00 USD / Year

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Job Description:

Software Development Engineer in Test (SDET) specializing in Data Quality within the Global Markets division of a leading investment bank, instrumental in ensuring the integrity, accuracy, and consistency of critical financial data across trading, risk management, and compliance systems. This role demands a highly technical mindset, combining robust hands-on skills in data validation with expertise in test automation.

Job Responsibility:

Design, develop, and implement automated data quality checks for both real-time and batch processing of trading data
Monitor and rigorously validate data pipelines supporting trade execution, pricing models, risk analytics, and post-trade settlement processes
Partner with trading desks, quantitative teams, and data engineers to proactively identify, analyze, and resolve complex data anomalies
Build and maintain solutions for data profiling, lineage tracking, and metadata management to ensure comprehensive data traceability and auditability
Integrate data validation rules and automated tests into Continuous Integration/Continuous Delivery (CI/CD) pipelines
Conduct thorough root cause analysis for identified data quality issues and drive implementation of effective corrective and preventative actions
Ensure all data quality processes and solutions adhere to global financial regulations and internal compliance standards
Collaborate with DevOps and Cloud Engineering teams to optimize and scale data quality solutions within cloud-based environments
Leverage and integrate AI/Machine Learning-based anomaly detection models to proactively identify subtle and complex data inconsistencies
Provide crucial support for User Acceptance Testing (UAT) processes and successful rollout of products into production environments

Requirements:

Minimum of 3+ years of experience in Quality Assurance with strong focus on data quality in backend testing
Strong experience in test automation using Java for backend systems and API testing
Hands-on experience in developing automation scripts using Python
Proficiency in SQL for complex data validation, querying large datasets, and data manipulation
Exceptional analytical and troubleshooting skills for debugging and resolving intricate data quality issues
Demonstrated experience embedding data quality tests and automation within DevOps CI/CD pipelines
Ability to thrive and contribute effectively in a dynamic, fast-paced trading environment with cross-functional teams
Bachelor's degree/University degree or equivalent experience

Nice to have:

Experience with cloud-based environments (e.g., AWS, Azure, GCP)
Knowledge of AI/Machine Learning-based anomaly detection models
Experience in financial services or investment banking environment

What we offer:

Career growth opportunities
Global team environment
Community engagement opportunities
Professional development
Work-life balance support
Equal opportunity employer
Reasonable accommodations for persons with disabilities

Additional Information:

Job Posted:
September 30, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Intermediate QA Engineer