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Zensar Technologies

Quality Assurance Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 29, 2026
Posting language: English
Posted: Oct 30, 2026

Original job description

Why Zensar?

We’re a bunch of hardworking, fun-loving, people-oriented technology enthusiasts. We love what we do, and we’re passionate about helping our clients thrive in an increasingly complex digital world. Zensar is an organization focused on building relationships with our clients and with each other - and happiness is at the core of everything we do. In fact, we’re so into happiness that we’ve created a Global Happiness Council, and we send out a Happiness Survey to our employees each year. We’ve learned that employee happiness requires more than a competitive paycheck, and our employee value proposition - grow, own, achieve, learn (GOAL) - lays out the core opportunities we seek to foster for every employee. Teamwork and collaboration are critical to Zensar’s mission and success, and our teams work on a diverse and challenging mix of technologies across a broad industry spectrum. These industries include banking and financial services, high-tech and manufacturing, healthcare, insurance, retail, and consumer services. Our employees enjoy flexible work arrangements and a competitive benefits package, including medical, dental, vision, 401(k), among other benefits. If you are looking for a place to have an immediate impact, to grow and contribute, where we work hard, play hard, and support each other, consider joining team Zensar!

Zensar is looking for a Onsite QA at Toronto, Canada - French-speaking candidates are preferred

We are looking for a technical Senior QA
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.

Key Responsibilities

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.

The Tech Stack

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: GitHub, JIRA, Confluence

Must-Have Qualifications

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).
Operational Support: Support releases during off-business hours, when planned. Also providing support in case of adhoc issues to ensure system reliability.

Nice to Haves

Capital Markets Experience: Understanding of equity markets, trade lifecycles, and financial instruments.
Big Data Tech: Experience with Hadoop, Spark, or Hive.
Shell Scripting: Working knowledge of shell scripting in a Linux environment.

Zensar believes that diversity of backgrounds, thought, experience, and expertise fosters the robust exchange of ideas that enables the highest quality collaboration and work product. Zensar is an equal opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Zensar is committed to providing veteran employment opportunities to our service men and women. Zensar is committed to providing equal employment opportunities for people with disabilities or religious observances, including reasonable accommodation when needed. Accommodation made to facilitate the recruiting process are not a guarantee of future or continued accommodation once hired.

All applicants must be legally authorized to work with Zensar. Visa sponsorship may be available for qualified applicants for certain positions.

Zensar values your privacy. We’ll use your data in accordance with our privacy statement located at:

https://zensar.com/privacy-notice

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More about this job

Responsibilities

Build Python automation frameworks to simulate high-volume trades and stress-test trading platforms. Validate AWS data pipelines and database integrity, analyze performance bottlenecks, and trace failures to their underlying services, APIs, or database procedures.

Requirements

Requires 5+ years of software quality assurance experience focused on data QA and backend automation, with strong Python, advanced SQL, AWS data pipeline, REST API, and performance testing skills. Capital markets knowledge, big data technologies, and Linux shell scripting are preferred; planned off-hours release and issue support is also required.

Skills

Python
Pytest
Pandas
Requests
Advanced SQL
AWS
Data Pipeline Testing
REST API Testing
Performance Testing
Load Testing
MySQL
Snowflake
Hive
ETL/ELT Validation
Root Cause Analysis
Shell Scripting

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k)

Visa sponsorship

Detected

Keywords

Quality Assurance
Data QA
Backend Automation
Python
Pytest
Pandas
Requests
SQL
MySQL
Snowflake
Hive
Athena
AWS
S3
EC2
EMR
Lambda
REST APIs
ETL/ELT
Data Pipelines
Trade Simulation
Capital Markets
Load Testing
Performance Engineering
GitHub
JIRA
Confluence
Hadoop
Spark
Linux

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