ai engineer
генерация резюме под вакансию
сопроводительное письмо
описание
EPAM is a global provider of digital platform engineering and development services, helping clients transform their businesses through innovative technology solutions.
задачи
- Design and build data engineering frameworks, reusable components and templates, and best practices to boost productivity of Data Engineers building AI-ready Data Products;
- Extend data engineering framework to make it easy for AI Agents to discover and consume Data Products at scale;
- Provide a powerful AI-assistant to accelerate Data Product development and operations;
- Establish and promote engineering excellence practices across agile team peers;
- Set up robust, scalable pipelines leveraging CI/CD frameworks;
- Collaborate with international teams to align on technical strategy and delivery;
- Guide Data Product Engineers with actionable technical direction.
требования
- Have 5+ years of experience in Data Engineering with a successful track record of building enterprise-quality Data Products, preferably in Lakehouse architecture;
- Proficient in Python development;
- Proficient in version control systems and CI/CD frameworks, such as GitHub and GitHub Actions;
- Expert in Databricks technologies, including PySpark, Delta Lake and Unity Catalog, or equivalent technology;
- Expert in Agentic AI and frameworks such as LangGraph, MCP and A2A;
- Know industry standard microservices technologies, including Kubernetes and Docker;
- Fluent in English for collaboration with international teams;
- Capable of providing actionable technical guidance and implementing engineering excellence practices among agile team peers.
условия
- No conditions specified
навыки
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