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Onepoint

Senior Data QA (Big Data & Azure)

Posted Yesterday
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In-Office
Montréal, QC
Senior level
In-Office
Montréal, QC
Senior level
Lead and define a cross-team QA strategy for Big Data pipelines on Azure. Design and implement functional, data and performance tests at scale, harmonize testing practices, automate tests into CI/CD, monitor quality metrics, support teams in a SAFe agile environment, and communicate across international stakeholders.
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Description de l'entreprise 

Wepoint est l’architecte des grandes transformations des entreprises et des acteurs publics. 

Nous accompagnons nos clients de la stratégie à la mise en œuvre technologique, en nous attachant toujours à penser au-delà des évidences et à s’inscrire dans des logiques de Responsabilité Économique, Sociale, Environnementale et Technologique (RESET), pour créer de nouvelles façons de travailler, de nouveaux modèles économiques et de nouveaux lieux intelligents. 

En près de 20 ans, nous sommes devenus l’un des acteurs majeurs de la transformation numérique et employons 3 500 collaborateurs en Europe, en Tunisie et en Amérique du Nord ainsi qu’en Asie Pacifique. 

  

Ce que nous recherchons 

COURAGE - AUTHENTICITÉ - OUVERTURE - ENGAGEMENT - ÉLÉGANCE 

Autant de valeurs qui rejoignent les collaborateurs de Wepoint. 

Nous travaillons avec des talents engagés, prêts à partager leurs expertises dans des collectifs ouverts, qui ont le courage de prendre des initiatives et capables de se remettre en question. 

Au cœur des relations humaines et du respect de notre environnement, chez Wepoint, se trouvent l’authenticité et la volonté de toujours tendre vers l’excellence pour nos clients.


Job description

We are looking for a Senior Cross-Functional QA Engineer (Big Data & Azure) to join our teams based in Montreal. The successful candidate will play a key role in defining, implementing, and continuously improving the quality strategy across several data teams in an agile SAFe environment.

Responsibilities

  • Define and implement a cross-functional quality strategy for Big Data pipelines and solutions (functional, data, and performance testing);

  • Harmonize testing practices across different teams (standards, models, tools, test reviews);

  • Design and implement tests on large volumes of data in an Azure environment (Data Factory, Databricks, Fabric, Spark, Data Lake, etc.);

  • Support teams (developers, data engineers, PO) in test automation and integration into CI/CD pipelines;

  • Monitor and improve quality indicators (test coverage, defects, pipeline stability, processing time, etc.);

  • Participate in agile ceremonies (PI Planning, reviews, retrospectives) in a SAFe framework, representing the voice of quality;

  • Contribute to the documentation of practices and test cases, and ensure knowledge sharing within teams;

  • Interact on a daily basis with contacts in Canada, the United States, and Europe, adapting communication to the multicultural context.

Qualifications

Profile

  • Highly rigorous, detail-oriented, and strong quality culture in a data environment;

  • Cross-functional leadership, ability to influence and unite without direct hierarchical ties;

  • Comfortable in an international context (Montreal, United States, Europe: France, Germany, etc.);

  • Excellent communication and outreach skills with technical and non-technical profiles;

  • Team spirit, autonomy, and proactivity in continuous improvement;

  • Excellent communication skills in French and English. English is required, as the position involves communicating with clients and colleagues located outside Quebec.

Technical skills

  • Significant QA experience in Big Data environments (data testing, pipeline validation, volume management);

  • Good command of the data-oriented Azure ecosystem (e.g., Azure Data Factory, Azure Databricks, Azure Data Lake, Azure SQL, etc.);

  • Practical experience with automated testing frameworks (API, data, integration) and integration into CI/CD pipelines;

  • Knowledge of performance and load testing concepts applied to data flows;

  • Familiarity with agile methodologies and the SAFe environment (PI Planning, ART, features, stories, etc.);

  • Asset: knowledge of distributed technologies such as Spark in a big data processing context.

Experience

  • Minimum of 10 years of experience in quality assurance/quality engineering, including some experience with data or Big Data projects;

  • Proven experience in a cloud environment, ideally Microsoft Azure;

  • Experience in an international or multi-team context is highly appreciated.

Only candidates legally authorized to work for any employer in Canada will be considered.

Avantages Wepoint:

  • Minimum de 3 semaines de vacances dès la première année; 

  • Assurances collectives complètes avec contribution généreuse de l'employeur; 

  • Contribution employeurs au REER collectif 

  • Flexibilité de télétravail complète : Hybride, Distanciel, Présentiel.  

  • Un bureau chaleureux, lumineux et accueillant qui vous offre : des fruits frais, du café, des breuvages, des repas occasionnels, etc. 

  • Budget de matériel informatique annuel 

  • Environnement de travail équilibré et flexibilité d'horaires;  

  • Évolution de carrière : Formation et certifications, Apprentissage en-ligne ou en présentiel, Academy Wepoint, etc. 

  • Une communauté internationale d’experts prêts à partager leurs connaissances; 

  • Une culture d’entreprise axée sur les besoins des individus et leurs appartenances à une communauté forte 


Top Skills

Azure,Azure Data Factory,Azure Databricks,Microsoft Fabric,Azure Data Lake,Azure Sql,Apache Spark,Ci/Cd,Api Testing Frameworks

Onepoint Montréal, Québec, CAN Office

606 Rue Cathcart, Montréal, Quebec, Canada, H3B

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