Postuler

Publié il y a 4 mois

Test Coordinator

@ CGI

Toronto, Ontario

Temps plein
Postuler
SIGNAUX

En bref

CGI is hiring a Test Coordinator for ETL QA engineering, supporting enterprise data integration and quality assurance. The work covers ETL testing, data validation, SQL reconciliation and end-to-end testing of data pipelines. The role is full-time, hybrid with at least 2 days per week in the downtown Toronto or client office.

Responsabilités :

  • Perform ETL testing and data validation
  • Execute SQL-based reconciliation
  • Support end-to-end testing of enterprise data pipelines
  • Validate large datasets and ETL workflows

Résumé des exigences :

  • Experience validating large datasets
  • Experience executing ETL workflows
  • Experience with Databricks-based data platforms
  • Banking experience is a strong asset

Outils et compétences

Source et dates

Type de source non vérifié · njoyn

Date publiée par l’employeur
2026-06-24
Première détection par notre source
2026-10-15
Mise à jour du dossier source
2026-10-31

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

ChampValeur
Taille10001+
Siège socialE-Commerce Place
Offres sur Jobsy514
Description
This role is hybrid and requires you to be at our downtown Toronto and/or Client office at a minimum 2 days per week subject to change at any time.

We are seeking a Test Coordinator / ETL QA Engineering to support enterprise data integration and quality assurance initiatives. The successful candidate will perform ETL testing, data validation, SQL-based reconciliation, and support end-to-end testing of enterprise data pipelines. The ideal candidate has experience validating large datasets, executing ETL workflows, and working with Databricks-based data platforms.
Banking experience is considered a strong asset.

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