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Onepoint
Onepoint
1 001 – 5 000 Darbuotojai
B2BDirbtinis intelektasKonsultavimas
„Onepoint“ yra Prancūzijos konsultacijų ir skaitmeninės transformacijos grupė, padedanti privačioms įmonėms ir viešojo sektoriaus organizacijoms kurti bei įgyvendinti didelės apimties technologijų ir veiklos pokyčius. Grupės veikla apima verslo ir technologijų strategiją, debesijos transformaciją, kibernetinį saugumą, duomenis ir dirbtinį intelektą, įskaitant generatyvųjį dirbtinį intelektą ir mašininį mokymąsi, skaitmeninių produktų ir naudotojų patirties kūrimą, programinės įrangos kūrimą, IT operacijas, taip pat tvarumo ir įmonių socialinės atsakomybės konsultacijas. Įvairių pramonės šakų klientus aptarnaujanti „Onepoint“ daugiausia dėmesio skiria sudėtingoms B2B ir stambių įmonių transformacijoms, derindama konsultavimo kompetenciją su technologinių sprendimų įgyvendinimu ir pabrėždama atsakingas inovacijas.
LinkedIn
Darbai įmonėje

Intermediate Data Engineering Advisor — Healthcare Analytics

Designs data pipelines, integrations, and analytics architectures for healthcare data at Onepoint. Supports governance, security, and deployments across Microsoft Fabric and Azure.

CAKanadaHibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: prancūzųDuomenų inžinierius
AzureETLFluxPythonSparkSQL

Aprašymas

  • Build and maintain data pipelines and infrastructure for analytics, reporting, and decision-making.
  • Analyze data sources, define ETL/ELT integration logic, and apply established design patterns.
  • Develop efficient Microsoft Fabric workflows and organize data with suitable models.
  • Add data quality controls and support unit and integration testing.
  • Protect the integration, security, and confidentiality of clinical and administrative data.
  • Manage code, traceability, and deployments with Azure DevOps and CI/CD practices.
  • Document solutions, share expertise, and help put data products into operation.
  • Work with architecture, security, operations, and stakeholder teams.
  • Set integration and interoperability strategies spanning source systems, Microsoft Fabric, and analytics products.
  • Design event-driven and metadata-driven integration patterns for batch and near-real-time processing.
  • Set rules for data movement, transformation, traceability, reconciliation, and error handling.
  • Design technical governance, data classification, lineage, and access controls.
  • Align solutions with Microsoft Fabric, Azure, Microsoft Purview, Azure DevOps, and CI/CD standards.
  • Create data-flow models, data contracts, technical decisions, standards, and integration templates.
  • Assess dependencies among clinical and administrative sources and recommend sustainable integration approaches.
  • Review development teams’ proposed solutions for end-to-end consistency.
  • Evaluate performance, resilience, scalability, and operational readiness.
  • Help teams apply strategic direction and resolve complex technical issues.

Reikalavimai

  • Speak and write French fluently.
  • Hold a bachelor’s degree in information technology, business administration, management, or a related field.
  • Provide MIFI equivalency for any diploma or degree earned outside Quebec.
  • Hold a specialized certification from a recognized authority in information technology.
  • Have five years of data engineering experience.
  • Have more than four years of business intelligence experience, including three years of data engineering in Quebec’s healthcare network.
  • Have one year of experience with Fabric or Databricks.
  • Have actively contributed to at least two projects developing analytics solutions that integrate provincial clinical information systems and healthcare facilities, such as Clinibase, SIURGE, Med-urge, BDCU, MED-ECHO, Opera, SIMASS, or SILP.
  • Use Git/GitHub, SQL, Python, and Power BI.
  • Know Microsoft Fabric components such as Lakehouse, Data Warehouse, Direct Lake, pipelines, and notebooks, as well as Spark environments.
  • Be proficient in T-SQL, DAX, and JSON.
  • Know Azure platforms and tools such as Azure Data Lake Gen2 and Data Factory, and governance and metadata tools such as Microsoft Purview.
  • Be legally authorized to work for any employer in Canada.

Privalumai

  • At least three weeks of vacation from the first year.
  • Comprehensive group insurance with a substantial employer contribution.
  • Employer contributions to a group RRSP.
  • Flexible work options: hybrid, remote, or on-site.
  • A welcoming, bright office with fresh fruit, coffee, beverages, and occasional meals.
  • An annual budget for IT equipment.
  • Flexible hours and a balanced work environment.
  • Professional development through training, certifications, online or in-person learning, and Wepoint Academy.
  • A global community of experts who share their knowledge.
  • A people-focused culture that supports individual needs and a strong sense of community.

Susiję darbai

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