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Onepoint

Développeur(se) en ingénierie de données

Reposted 8 Hours Ago
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In-Office
Montréal, QC, CAN
Mid level
In-Office
Montréal, QC, CAN
Mid level
Design, build and maintain scalable ETL/ELT data pipelines on Azure (Databricks, Synapse, Data Factory, Fabric). Integrate real-time ingest, manage data lake/lakehouse architectures, ensure data quality/security, monitor/optimize pipelines, document processes, and collaborate in an Agile SAFe team.
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Company Description

Wepoint is the architect of major transformations for businesses and public sector organizations.

We support our clients from strategy through technological implementation, always striving to think beyond the obvious and to act within the framework of Economic, Social, Environmental, and Technological Responsibility (RESET). Our goal is to create new ways of working, new economic models, and smarter environments.

In nearly 20 years, we have become one of the key players in digital transformation, employing 3,500 people across Europe, Tunisia, North America, and the Asia-Pacific region.

What We Are Looking For

COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE

Do these words resonate with you? They are our company values.

At Wepoint, we are looking for committed talents who are ready to share their expertise within open and collaborative teams, and who are not afraid to take initiative. We also value people who are able to challenge themselves and continuously improve.

At the heart of relationships at Wepoint are authenticity and the constant pursuit of excellence for our clients — this is what we expect from our future colleagues.

Description

Nous recherchons un(e) Développeur(se) en ingénierie de données expérimenté pour rejoindre une équipe agile (SAFe) dédiée à la conception, la mise en œuvre et l’optimisation de solutions de données dans des environnements infonuagique modernes. Le(la) candidat(e) idéal(e) possède une solide expertise dans l’écosystème Azure, notamment Databricks, Azure Synapse, Data Factory, Microsoft Fabric, ainsi que des compétences en Python, PySpark, SQL, et CI/CD avec Azure DevOps. 

Vous interviendrez sur des projets stratégiques impliquant la gestion de données en temps réel, le traitement en batch et l’architecture de données à grande échelle (datalake, datalakehouse). 

Responsabilités

  • Concevoir, développer et maintenir des pipelines de données efficaces et scalables (ETL/ELT) à l’aide de services tels que Databricks, Azure Data Factory, Synapse Analytics, Microsoft Fabric etc.;

  • Participer à l’intégration de données temps réel via des services tels que Event Hubs, IoT Hubs et Stream Analytics;

  • Contribuer à la mise en œuvre et à l’évolution des architectures datalake, lakehouse et médaillon;

  • Développer et maintenir des solutions d'entrepôt de données pour soutenir les initiatives analytiques et IA/ML;

  • Assurer la qualité, la fiabilité et la sécurité des données traitées;

  • Participer au monitoring, à l’investigation des problèmes et à l’optimisation des pipelines;

  • Documenter les processus techniques (ex. : via Confluence) et suivre les bonnes pratiques de gouvernance des données;

  • Collaborer dans un cadre Agile SAFe, avec les architectes, les analystes, les scientifiques de données et les chefs de projet. 

Qualifications

  • Expérience confirmée en ingénierie de données dans un environnement infonuagique (idéalement Azure);

  • Maîtrise des technologies :  Databricks, Azure Data Factory, Synapse Analytics, Microsoft Fabric, Event/IoT Hubs, Stream Analytics, Dremio, Python, PySpark, SQL, CI/CD avec Azure DevOps;

  • Bonne connaissance des architectures datalake, lakehouse et médaillon;

  • Familiarité avec les méthodologies Agile SAFe;

  • Rigueur dans la documentation, la qualité de code et le respect des standards;

  • Maîtrise du français et de l’anglais, à l’écrit comme à l’oral. L'anglais est requis puisque le poste demande de communiquer avec des équipes situées à l’extérieur du Québec.

Seuls les candidats légalement autorisés à travailler pour tout employeur au Canada seront considérés.

Wepoint Benefits

  • Minimum of 3 weeks of vacation starting from the first year;

  • Comprehensive group insurance with a generous employer contribution;

  • Employer contribution to a group RRSP;

  • Full remote work flexibility: Hybrid, Remote, or On-site;

  • A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.;

  • Annual IT equipment budget;

  • A balanced work environment with flexible working hours;

  • Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.;

  • An international community of experts ready to share their knowledge;

  • A company culture focused on individuals’ needs and their belonging to a strong community.

#tech&security

Top Skills

Azure Data Factory
Azure Devops
Azure Synapse Analytics
Confluence
Databricks
Dremio
Event Hubs
Iot Hubs
Microsoft Fabric
Pyspark
Python
SQL
Stream Analytics

Onepoint Montréal, Québec, CAN Office

606 Rue Cathcart, Montréal, Quebec, Canada, H3B

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