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Onepoint

Développeur(se) en ingénierie de données

Posted 4 Days Ago
Be an Early Applicant
In-Office
Montréal, QC
Mid level
In-Office
Montréal, QC
Mid level
The developer will design, implement, and optimize data solutions in modern cloud environments, focusing on real-time data management and large-scale data architecture.
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About Onepoint
Onepoint is a key architect behind the major transformations of businesses and public sector organizations.
We support our clients from strategy through to technological implementation—always aiming to think beyond the obvious. We are committed to principles of Economic, Social, Environmental, and Technological Responsibility (RESET), with the goal of creating new ways of working, new business models, and smart, forward-thinking environments.

Over the past 20 years, we’ve grown into a leading player in digital transformation, with more than 3,500 employees across Europe, Tunisia, North America, and the Asia-Pacific region.

 

What We Look For
COURAGE – AUTHENTICITY – OPENNESS – COMMITMENT – ELEGANCE
These are the values that unite our people at Onepoint.
We work with passionate individuals who are eager to share their expertise within open, collaborative teams. They show initiative, challenge themselves, and grow through continuous learning.
At the heart of Onepoint are genuine human connections and a deep respect for our environment. We strive for excellence and believe in bringing our best to every client.

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.

Why Join Onepoint?

  • A minimum of 3 weeks’ vacation starting in your first year
  • Comprehensive group insurance plan with generous employer contributions
  • Employer contributions to a group RRSP
  • Flexible work arrangements: hybrid, remote, or in-office
  • A welcoming, modern office space with fresh fruit, coffee, beverages, occasional team lunches, and more
  • Annual tech equipment allowance
  • Flexible schedules and a balanced work environment
  • Career growth opportunities, including training, certifications, online or in-person learning, and access to the Onepoint Academy
  • A global network of experts who love sharing knowledge
  • A people-centred culture focused on individual growth and a strong sense of belonging

Top Skills

Azure
Azure Data Factory
Azure Devops
Ci/Cd
Databricks
Microsoft Fabric
Pyspark
Python
SQL
Synapse Analytics

Onepoint Montréal, Québec, CAN Office

606 Rue Cathcart, Montréal, Quebec, Canada, H3B

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