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 mappings

Validate data accuracy, completeness, integrity, and transformations

Execute SQL queries across Oracle, SQL Server, and BigQuery





Develop automated validation and regression tests using Python

Own planning, execution, defects, reporting, and testing sign-off

Requirements

5+ years of hands-on ETL testing experience

Solid SQL, backend testing, and BigQuery experience

Understanding of data warehousing, modeling, and quality principles

Experience with Informatica PowerCenter, Airflow, and GCP services

Experience validating structured, semi-structured, and JSON data

Apply senior ETL testing expertise, SQL, Python, and reconciliation skills to Tangerine’s data quality initiatives.

📌 Senior ETL Quality Engineer (Winnipeg)
🏢 Scotiabank
📍 Winnipeg