Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
101к-151к CAD/год
110к CAD130к CADмедиана160к CAD
По похожим ролям (50) ~ 130к CAD/год
На СНГ рынке: $2.7к/мес ($1.7к - $3.4к)
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Чётко описанная инженерная роль в крупной биофармацевтической компании, с современными инструментами для данных и применением в здравоохранении; ответственность за весь цикл широкая, но связная.
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Полный цикл задачАктуальный стекИИ в здравоохранении
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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