Senior ETL Quality Engineer with SQL and Python expertise supports Tangerine’s data warehouse environments. Focus on rigorous validation, reconciliation, and pipeline testing.
As part of Tangerine’s Quality Engineering team, you will test ETL workflows, data pipelines, and transformations across enterprise data warehouse environments. The work includes source-to-target mapping, backend testing, and end-to-end validation. You will collaborate with developers, business analysts, data engineers, and other stakeholders to resolve data quality issues.

Key Responsibilities

Define test strategies from source-to-target mappingsValidate data accuracy, completeness, integrity, and transformationsExecute SQL queries across Oracle, SQL Server,



and BigQueryDevelop automated validation and regression tests using PythonOwn planning, execution, defects, reporting, and testing sign-offRequirements:
5+ years of hands-on ETL testing experienceStrong SQL, backend testing, and BigQuery experienceUnderstanding of data warehousing, modeling, and quality principlesExperience with Informatica PowerCenter, Airflow, and GCP servicesExperience validating structured, semi-structured, and JSON dataApply senior ETL testing expertise, SQL, Python, and reconciliation skills to Tangerine’s data quality initiatives.
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📌 Senior Etl Quality Engineer (Canada)
🏢 Scotiabank
📍 Canada