Apply for this position

ETL Tester (Contract) at CoreFactor

Drag & drop your resume here

or click to browse • PDF, DOC, DOCX (max 800KB)

CoreFactor logo
CoreFactor

ETL Tester (Contract)

CoreFactor is searching for an ETL Tester on a contract basis for a Financial Services client in the GTA .

This position is hybrid and will require the successful incumbent to go into the office four (4) days per week.

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 BigQuery 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.

Requirements

  • 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 BigQuery 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, BigQuery, 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.