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Support the launch →myPOS ищет опытного дата-инженера для построения и поддержки конвейеров данных, трансформации и экспорта между источниками. Вы будете развивать архитектуру данных, сотрудничать с аналитиками и учёными, обеспечивая качество и безопасность данных.
Требуется 3+ года опыта, знание Python/SQL и облачных технологий. Приоритет — оперирование в рамках масштабируемых данных и CI/CD, IaC, DataOps.
Build and scale AI pipelines to support data science teams, focusing on robust and optimized MLOps environments using Python and DevOps practices.
Designs and builds scalable data pipelines and cloud infrastructure to power analytics and insights for a global fintech payment platform.
Senior Data Engineer builds and optimizes large-scale ETL pipelines for client data processing in a financial-sector project, using Spark, Airflow, and OLAP systems.
DevOps Engineer automates CI/CD pipelines, manages Kubernetes clusters, Docker, and server infrastructure, and ensures security and uptime for a growing IT product company.
Designs and builds scalable data pipelines and architectures for enterprise clients using Python and SQL in a modern data stack.
Senior DevOps engineer builds and maintains scalable CI/CD pipelines, Kubernetes clusters, and IaC (Terraform/Ansible) for high-load production systems, with monitoring (Prometheus/Grafana) and security practices.