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Senior/Lead Data Integration Engineer (Snowflake)

EPAM · зарплата не указана · Lviv, Ukraine · сайт компании · опубликовано 5 июня 2026 г.

Компания EPAM
Источник сайт компании
Опубликовано 5 июня 2026 г.
Зарплата зарплата не указана

Описание вакансии

We are seeking a highly skilled Senior/Lead Data Integration Engineer with expertise in Snowflake to join our team. In this role, you will design, develop, and optimize robust data and analytics solutions and pipelines. You will collaborate closely with scrum masters, product owners, and cross-functional engineering teams to deliver innovative, API-first, cloud-native solutions.
You’ll be part of a forward-thinking team, working on cutting-edge cloud-native solutions that drive business value. If you’re passionate about data engineering and eager to make an impact, we’d love to hear from you.
Responsibilities
Design, develop, and enhance scalable data and analytics solutions and pipelines within the Data and Analytics squad
Collaborate with scrum masters, product owners, and engineering teams to iteratively deliver high-quality data solutions
Partner with the development team to build innovative, API-first, cloud-native solutions leveraging AWS, Snowflake, Snaplogic, Python, REST APIs, and related technologies
Continuously improve the delivery pipeline through automation and by expanding and optimizing test coverage
Optimize and fine-tune existing data pipelines for enhanced performance, scalability, and reliability
Requirements
5+ years of professional experience in data engineering, with a strong focus on designing and building data pipelines
Proficiency in SQL and hands-on experience with Python
Solid experience in data modeling and data warehousing concepts
Experience working with public cloud data platforms, including Snowflake, AWS, and Azure
Strong communication skills with English proficiency at B2 level or higher

Навыки

  • data integration
  • sql
  • python
  • snowflake
  • amazon web services
  • microsoft azure
  • AWS
  • REST
  • DevOps
  • CI/CD
  • GitHub
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