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vTech Solution
Senior Data Scientist and Data EngineervTech Solution • Toronto, ON, Canada
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Senior Data Scientist and Data Engineer

Senior Data Scientist and Data Engineer

vTech Solution • Toronto, ON, Canada
25 days ago
Job type
  • Full-time
  • Quick Apply
Job description
Job Summary:

The Senior Data Science Developer role involves building and automating cloud-based data foundations, including pipelines, lakehouse structures, analytics models, and visualizations to support public health analytics and decision-making. This position combines data engineering and data science responsibilities to enhance modelling, forecasting, and AI integration capabilities on a modern Azure platform within a public health context.

Responsibilities:
  • Analyze system requirements and design, code, and implement cloud-based data and analytics products.
  • Create and maintain data lake and lakehouse structures, automated data pipelines, analytics models, and dashboards.
  • Collaborate with IT teams to deploy products, resolve operational issues, and support business users.
  • Analyze complex technical problems, identify alternatives, and recommend solutions.
  • Automate data ingestion, ETL, and production pipelines for foundational capabilities and specialized projects like HealthMap.
  • Identify and prioritize analytic use cases and integrate AI techniques such as machine learning and natural language processing.
  • Enhance modelling, forecasting, and scenario analysis capacity.
  • Advance the Public Health Data Utility and Azure data platform, supporting data governance and acquisition processes.
  • Document methods and conduct knowledge transfer to ensure sustainability of pipelines and capabilities.
Required Skills & Certifications:
  • Proven experience with multiple cloud-based data and analytics platforms and programming/scripting tools.
  • Expertise designing and maintaining cloud data lake and lakehouse architectures, automated pipelines, analytics models, and visualizations.
  • Deep knowledge of Azure technology stack including Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, Azure Synapse, Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
  • Experience assessing client IT needs and objectives.
  • Strong problem-solving skills to resolve complex, multi-component failures.
  • Experience preparing documentation and conducting knowledge transfer sessions.
  • Ability to work effectively in teams and meet deadlines.
  • Public sector experience is required.
Preferred Skills & Certifications:
  • Strong written and oral communication skills for team collaboration and documentation.
  • Interpersonal skills to discuss technical approaches and solutions.
  • Experience leading knowledge transfer sessions and creating technical documentation for end-to-end data and analytics products.
  • Advanced professional capability to lead and train others on technical components and concepts.
  • Experience planning and delivering complex technical deliverables with advisory support.
Special Considerations:
  • Role requires covering both data engineering and data science specialist functions.
  • Must be able to work in a hybrid environment with 2 days onsite.
  • Work involves supporting public health data initiatives and requires adherence to data governance standards.
Scheduling:
  • Hybrid work schedule with 2 days onsite per week.
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Senior Data Scientist and Data Engineer • Toronto, ON, Canada

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