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K&K Global Talent Solutions INC.

Test Automation QE - ETL and API

Toronto, ON, Canada

Pay: $100,000 to $110,000 CAD / year
Job type: Full-time
Apply by: Oct 23, 2026
Experience: Experience Range: 8-10+ Years
Posting language: English
Posted: Sep 23, 2026

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Original job description

Position: Test Automation QE - ETL and API

Location: Toronto, ON (Hybrid)

Employment Type: Full-Time

Experience Range: 8-10+ Years

Job Description:

Design and Develop Automated Testing: Create comprehensive automated testing frameworks for ETL processes and APIs, ensuring data accuracy and system reliability
SQL & Data Analysis: Write complex SQL queries to validate data transformations, perform data profiling, and conduct root cause analysis on data quality issues
Python Development: Develop Python scripts and utilities for test automation, data validation, and reporting
Cloud & Big Data Operations: Manage and optimize data pipelines on AWS S3, work with Hadoop ecosystems, and process Parquet files efficiently
Infrastructure & Version Control: Manage code repositories on GitHub, implement CI/CD best practices, and maintain documentation
QE Methodology: Apply Quality Engineering principles to identify risks early and implement preventative measures throughout the data pipeline
Stakeholder Communication: Document test results, communicate findings to technical and non-technical stakeholders, and provide recommendations for data quality improvements

Required Qualifications

SQL Expertise: Advanced proficiency in writing complex SQL queries, stored procedures, and data validation scripts
Python Proficiency: Strong coding skills in Python for automation and data processing
Unix/Linux: Hands-on experience with command-line operations and shell scripting
Cloud Platforms: Demonstrated experience with AWS S3 and cloud-based data management
Big Data Technologies: Working knowledge of Hadoop.

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More about this job

Responsibilities

Design and develop automated testing frameworks for ETL processes and APIs, using SQL and Python to validate data transformations, profile data, and investigate quality issues. Manage and optimize data pipelines involving AWS S3, Hadoop, and Parquet, maintain repositories and CI/CD practices, and communicate test findings and recommendations to stakeholders.

Requirements

Requires 8–10+ years of experience, advanced SQL skills, strong Python development skills, and hands-on Unix/Linux command-line and shell scripting experience. Candidates should also have experience with AWS S3 and cloud-based data management, plus working knowledge of Hadoop.

Skills

Test Automation
ETL Testing
API Testing
SQL
Data Validation
Python
Unix/Linux
Shell Scripting
AWS S3
Hadoop
Parquet
GitHub
CI/CD
Data Profiling
Quality Engineering

Visa sponsorship

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Keywords

Test Automation
Quality Engineering
ETL
API Testing
Automated Testing Frameworks
SQL
Stored Procedures
Data Validation
Data Profiling
Root Cause Analysis
Data Quality
Python
Data Processing
AWS S3
Cloud Data Management
Data Pipelines
Hadoop
Parquet
Unix/Linux
Shell Scripting
GitHub
CI/CD
Risk Identification
Data Transformations
Stakeholder Communication

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