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Data & AI Engineer - Real World Data and Healthcare Intelligence (AI)

100 500 - 150 500CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data & AI Engineer - Real World Data and Healthcare Intelligence (AI): Building and operating backend applications, data pipelines, APIs, and microservices for real-world data and healthcare intelligence with an accent on Python, Snowflake, PySpark, Snowpark, and PostgreSQL. Focus on optimizing data processing, designing scalable application architecture, implementing CI/CD and automated testing, and troubleshooting production pipelines.

Location: Toronto, Canada; hybrid work with 3 days per week onsite required

Salary: CAD 100,500–150,500, including target bonus.

Company

hirify.global is an R&D-driven, AI-powered biopharmaceutical company developing medicines and vaccines.

What you will do

  • Own the application backend, including application logic, databases, data ingestion and transformation, processing, orchestration, APIs, testing, deployment, operation, and support.
  • Develop and manage Python microservices and robust APIs using FastAPI.
  • Optimize Snowflake queries, databases, ETL and data pipelines for performance, functionality, and timely execution.
  • Design application architecture for concurrent users and high-usage periods; investigate and resolve pipeline issues.
  • Set up CI/CD pipelines, automated tests, code management standards, and production deployments.
  • Conduct peer reviews and maintain detailed Confluence documentation for the codebase.

Requirements

  • 3+ years of relevant experience in backend development, integration, data pipelining, and infrastructure.
  • Bachelor’s degree in computer science, engineering, or a similar quantitative field is required.
  • Expertise in database optimization and performance improvement.
  • Expertise in Python, PySpark, and Snowpark.
  • Experience with data warehouses and object-relational databases, including Snowflake and PostgreSQL, and with writing efficient SQL queries.
  • Experience with cloud-based data platforms, including Snowflake and AWS.
  • Proficiency developing reliable Python APIs with FastAPI.
  • Understanding of data structures and algorithms.
  • Strong collaboration skills and willingness to support seamless server-side and client-side integration.

Nice to have

  • Experience with modern testing frameworks such as SonarQube or K6.
  • Knowledge of DevOps practices and tools, including Kubernetes, Argo, Red Hat OpenShift, Terraform, CloudWatch, Grafana, JFrog Artifactory, GitHub, and GitHub Actions.

Culture & Benefits

  • Full-time employment in a corporate R&D and biopharmaceutical environment.
  • Employee benefits programs may be available.
  • hirify.global is an equal opportunity employer and provides recruitment accommodations for persons with disabilities upon request.
  • Applications received after the official close date may be reviewed individually.

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