Job Title: ETL Tester
Location: Toronto, ON (Hybrid)
Duration: Contract
Rate: $55-60/hr INC
Required Qualifications
• 5+ years of hands-on experience in ETL testing, data validation, source-to-target reconciliation, data transformation testing, and end-to-end validation of data pipelines in Data Warehouse environments.
- Strong experience with SQL, backend testing, ETL validation, and complex Big-Query queries for data validation, reconciliation, and troubleshooting.
- Strong understanding of Data Warehousing concepts, ETL processes, data-modeling, and data quality principles.
- Hands-on experience with Oracle, SQL Server, Big-Query, Informatica PowerCenter, Airflow/Cloud Composer, and GCP data services.
- Experience validating data across source, staging, and target systems, including structured, semi-structured, and JSON data.
- Experience developing and maintaining ETL test automation solutions using Python, SQL, or similar technologies for automated data validation, reconciliation, and regression testing.
- Proven ability to own test planning, test execution, regression validation, defect management, and testing sign-off activities for EDW initiatives.
Roles and Responsibilities
- Collaborate with developers, business analysts, data engineers, and other stakeholders to identify, troubleshoot, and resolve data quality issues.
- Participate in requirements reviews, source-to-target mapping sessions, and design discussions to ensure testability, completeness, and data quality.
- Analyze source-to-target mappings, define test strategies, create comprehensive test cases, and perform rigorous data validation.
- Validate data accuracy, completeness, and integrity through source-to-target reconciliation and transformation testing.
- Execute complex SQL queries, perform backend testing, and validate ETL transformations across Oracle, SQL Server, and Big-Query platforms.
- Validate end-to-end ETL workflows, data pipelines, and data movement across source, staging, and target environments.
- Work with multiple source systems containing structured, semi-structured, and JSON data.
- Develop and maintain automated data validation, reconciliation, and regression tests using Python, SQL, and other automation utilities.
- Support continuous improvement of ETL testing processes through automation and reusable testing frameworks.
- Own test planning, test execution, defect management, regression validation, test reporting, and testing sign-off for assigned EDW initiatives.
- Collaborate with project teams to support release readiness activities and ensure delivery quality.
- Maintain test cases, test results, defect logs, and other QA artifacts in Jira, Confluence, and related project repositories.
Technology Stack
Cloud & Data Platform : Google Cloud Platform (GCP): Big-Query, Cloud Composer
ETL & Data Integration : Informatica PowerCenter
Databases : Oracle, SQL Server
Testing & Automation : SQL, Python, ETL Test Automation
Tools : Jira, Confluence
Nice to Have : Git / GitHub, CI/CD Tools, Adobe Platforms, ISTQB certificate.
