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Data Warehouse Tester​/QA – AWS, ETL Testing

Job in Toronto, Ontario, M5A, Canada
Listing for: Astra North Infoteck Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    IT QA Tester / Automation, Data Engineering, Data Analyst, Data Warehousing
Job Description & How to Apply Below
Job Description

Primary Skill:

· ETL Tester / AWS Data QA Engineer

· ETL Testing & Automation Expertise

Required Skills:

· Data Warehouse BI Testing

· AI and Automation

· Automated QA - Test Complete

Role

Description:

· Design and execute test cases for ETL processes, ensuring data completeness, transformation accuracy, and consistency.

· Validate data across source systems, staging layers, and target databases/data warehouses.

· Perform data validations including row count, schema checks, and aggregation checks.

· Conduct data reconciliation and verify transformation logic.

· Perform regression and integration testing for ETL pipelines.

· Demonstrate expertise in SQL and database concepts.

· Possess familiarity with coding languages such as Java or Python.

· Have working knowledge of cloud technologies used in ETL processes.

· Perform ETL automation and backend automation.

· Collaborate effectively with cross-functional teams.

· Work closely with stakeholders and managers on a daily basis, providing regular updates.

· Communicate test results, defects, and risks to stakeholders and managers.

· Show strong ownership and proactively go the extra mile to meet critical milestones.

Requirements
Primary Skill:
• ETL Tester / AWS Data QA Engineer
• ETL Testing & Automation Expertise

Required Skills:

• Data Warehouse BI Testing
• AI and Automation
• Automated QA - Test Complete Role

Description:

• Design and execute test cases for ETL processes, ensuring data completeness, transformation accuracy, and consistency.
• Validate data across source systems, staging layers, and target databases/data warehouses.
• Perform data validations including row count, schema checks, and aggregation checks.
• Conduct data reconciliation and verify transformation logic.
• Perform regression and integration testing for ETL pipelines.
• Demonstrate expertise in SQL and database concepts.
• Possess familiarity with coding languages such as Java or Python.
• Have working knowledge of cloud technologies used in ETL processes.
• Perform ETL automation and backend automation.
• Collaborate effectively with cross-functional teams.
• Work closely with stakeholders and managers on a daily basis, providing regular updates.
• Communicate test results, defects, and risks to stakeholders and managers.
• Show strong ownership and proactively go the extra mile to meet critical milestones.
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