Задачи чётко сосредоточены на инженерии данных и востребованных инструментах, а работа связана с ИИ для поиска лекарств; при этом в аутсорсинге стабильность проекта может зависеть от клиентских заказов.
?Аутсорсинговый формат
Современный стек
ИИ в разработке лекарств
Гибкий график
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer / ETL Developer (Cheminformatics): Building reliable Python-based data pipelines and automated workflows for AI-driven drug discovery and computational research with an accent on Apache Airflow, Docker, data integration, and scalable processing. Focus on designing maintainable ETL/ELT systems, integrating APIs and computational tools, and improving pipeline reliability through testing, logging, and performance optimization.
Location: Remote, with the role listed in Tbilisi
Company
Software Country provides custom software development services focused on complex high-load applications, AI and BI solutions, and mobile apps.
What you will do
Design, develop, and maintain Python-based ETL/ELT pipelines for efficient and reliable data processing.
Build and manage Apache Airflow workflows, including scheduling, dependencies, monitoring, and error handling.
Develop Docker-based environments for consistent and reproducible execution.
Integrate data sources, APIs, and computational tools into automated workflows.
Improve pipeline reliability, scalability, and maintainability through testing, logging, and performance optimization.
Collaborate with engineering and scientific teams to support data-driven research and AI-powered applications.
Requirements
More than 6 years of experience.
Strong Python skills and experience developing data processing or automation solutions.
Hands-on experience with Apache Airflow or similar workflow orchestration tools.
Practical experience with Docker and containerized applications.
Hands-on experience with PostgreSQL and/or Snowflake.
Understanding of ETL/ELT processes, data integration, and workflow automation.
Ability to troubleshoot pipeline failures and build reliable, maintainable solutions.
Nice to have
Experience with additional workflow orchestration or workflow management tools.
Familiarity with AWS cloud services.
Experience with API design and integration.
Knowledge of Kubernetes and GitOps practices.
Experience developing AI-driven applications.
Background in life sciences, computational chemistry, bioinformatics, or drug discovery.
Culture & Benefits
Remote work with a flexible schedule.
Choice of collaboration through a B2B contract with payments in USD or EUR, depending on preference, or through a labor contract.
Opportunities for professional growth.
Company laptop provided.
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