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Onepoint
Onepoint
1 001 – 5 000 Xodimlar
B2BKonsaltingSun’iy intellekt
Onepoint — xususiy kompaniyalar va davlat sektori tashkilotlariga texnologiyalar hamda operatsiyalar sohasidagi yirik o‘zgarishlarni loyihalash va amalga oshirishda yordam beradigan Fransiyaning konsalting va raqamli transformatsiya guruhi. Uning faoliyati biznes va texnologiyalar strategiyasi, bulutli transformatsiya, kiberxavfsizlik, generativ sun’iy intellekt va mashinaviy o‘qitishni o‘z ichiga olgan ma’lumotlar hamda sun’iy intellekt, raqamli mahsulot va foydalanuvchi tajribasi dizayni, dasturiy ta’minot ishlab chiqish, IT operatsiyalari, shuningdek barqarorlik va RSE bo‘yicha maslahat xizmatlarini qamrab oladi. Bir nechta sohadagi mijozlarga xizmat ko‘rsatuvchi Onepoint murakkab B2B va korporativ transformatsiyalarga e’tibor qaratib, konsalting tajribasini texnologiyalarni joriy etish bilan birlashtiradi va mas’uliyatli innovatsiyaga ustuvor ahamiyat beradi.
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Kompaniyadagi ish o‘rinlari

Intermediate Data Engineering Advisor

Design Microsoft Fabric and Azure data solutions for Wepoint’s digital transformation clients, integrating clinical and administrative healthcare systems across Quebec.

CAKanadaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: fransuzchaMa’lumotlar muhandisi
AzureETLFluxPythonSparkSQL

Tavsif

  • Build and maintain data pipelines and infrastructure that support analytics, reporting, and decision-making.
  • Assess data sources, define ETL/ELT integration logic, and apply established design patterns.
  • Create high-performance data flows in Microsoft Fabric and organize data with suitable models.
  • Implement data quality controls and contribute to unit and integration testing.
  • Protect the integration, security, and confidentiality of clinical and administrative data.
  • Manage code, traceability, and deployments through Azure DevOps and CI/CD practices.
  • Document solutions, share expertise, and help operationalize data products.
  • Work with architecture, security, operations, and stakeholder teams.
  • Set integration and interoperability strategies across source systems, Microsoft Fabric, and analytics products.
  • Design event- and metadata-driven integration patterns for batch and near-real-time processing.
  • Establish rules for data flow, transformation, traceability, reconciliation, and error handling.
  • Create technical governance mechanisms for classification, lineage, and access control.
  • Align solutions with Microsoft Fabric, Azure, Microsoft Purview, Azure DevOps, and CI/CD standards.
  • Develop flow models, data contracts, technical decisions, standards, and integration templates.
  • Evaluate dependencies across clinical and administrative data sources and recommend sustainable integration approaches.
  • Review development team proposals and ensure end-to-end consistency.
  • Evaluate performance, resilience, scalability, and operationalization challenges.
  • Help teams implement strategic direction and resolve complex technical issues.

Talablar

  • Fluent spoken and written French.
  • Bachelor’s degree in information technology, business administration, management, or a related discipline.
  • Degrees earned outside Quebec require an equivalency assessment from MIFI.
  • Specialized certification from a recognized authority in information technology.
  • Five years of data engineering experience.
  • Over four years of business intelligence experience, including three years of data engineering in Quebec’s healthcare network.
  • One year of experience with Microsoft Fabric or Databricks.
  • Active participation in at least two projects developing analytics solutions that integrate provincial clinical information systems and healthcare facilities.
  • Experience with Git/GitHub, SQL, Python, and Power BI.
  • Knowledge of Microsoft Fabric Lakehouse, Data Warehouse, Direct Lake, pipelines, notebooks, and Spark environments.
  • Proficiency in T-SQL, DAX, and JSON.
  • Knowledge of Azure platforms and tools such as Azure Data Lake Gen2 and Data Factory, plus governance and metadata tools such as Microsoft Purview.
  • Must be legally authorized to work for any employer in Canada.

Imtiyozlar

  • At least three weeks of vacation beginning in the first year.
  • Group insurance with a substantial employer contribution.
  • Employer contributions to a group RRSP.
  • Flexible work options: hybrid, remote, or on-site.
  • Bright, welcoming office with fresh fruit, coffee, drinks, and occasional meals.
  • Annual budget for IT equipment.
  • Flexible hours and a balanced work environment.
  • Professional development through training, certifications, online and in-person learning, and Wepoint Academy.
  • Access to an international network of experts who share their knowledge.
  • A people-centered culture that supports individual needs and belonging to a strong community.

O‘xshash ish o‘rinlari

Ambush

Senior Machine Learning and AI Engineer

Ambush
51 – 200 Xodimlar
Malakali ishchi vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
BRBraziliyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisiSun’iy intellekt muhandisi
AWSAzureBulutDockerGoogle Cloud PlatformKubernetesPythonReactSQLTerraform

Build production-grade generative AI and agent workflows for Ambush’s financial services clients. Develop Python and FastAPI services, SQL data workflows, retrieval-augmented generation, and cloud-based AI systems.

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GFN

Senior Software Engineer, Machine Learning

GFN
201 – 500 Xodimlar
Elektron tijoratFintexSaaS
DEGermaniyaMasofaviyTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: nemischaTalab Qilinadigan Til: inglizchaMashinaviy o‘qitish muhandisi
AWSAzureDjangoDockerKubernetesPythonRubyRuby on RailsTerraform

Build backend infrastructure and AI-enabled learning products for GFN, a German education provider. Develop scalable educational platforms with a focus on robust software architecture and practical machine learning.

Ochish