Middle/Senior Analytics Engineer (dbt/Snowflake)

Analytics Engineer

Прямой работодатель AGIMA ( agima.ru )

OAЭ Миддл • Сеньор Информационные технологии • Data Analysis 15 апреля Удаленная работа
Опыт работы от 3 до 5 лет 25 $ Работодатель AGIMA Короткая ссылка: geekjob.ru/hiMg Откликнуться Описание вакансии

Location: not RF, RB, Ukraine, Middle East countries We are looking for an Analytics Engineer II to own the transformation layer and gold standard of reporting at Xometry. You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior member of the team, you won’t just be writing SQL; you’ll be defining our data architecture, working with data analysts and data engineers.

Key Responsibilities

• Data Modeling: Design, develop, and maintain robust data models (using dbt) that serve as the foundation for all company reporting. Solid understanding of semantic modeling and multi-domain data architecture.
• Pipeline Excellence: Partner with Data Engineers to optimize ingestion and ensure the reliability of our data warehouse and query optimization.
• Business Partnership: Work with data analysts and stakeholders across the organization to translate complex business requirements into technical specifications.
• Code Quality: Lead the charge on version control, CI/CD patterns, and comprehensive testing (data quality and unit tests).
• Documentation: Maintain a high-quality data dictionary to ensure everyone in the company speaks the same "data language."

Qualifications

• 2–4 years of experience within data analytics, analytics engineering, or data engineering.
• Proven track record of building and maintaining production-grade data models and transforming raw data into clean, actionable datasets.
• Proficiency in writing complex, performant SQL for data transformation and analysis.
• Practical experience with dbt for modeling and GitHub for version control.
• Experience working within cloud data warehouses such as Snowflake.
• Ability to build and maintain dashboards in tools like Looker, Tableau, or Power BI.
• Experience implementing data quality tests and participating in CI/CD workflows.
• Strong ability to understand business metrics and translate stakeholder requirements into technical tasks.
• Ability to communicate technical concepts to non-technical stakeholders clearly.
• Comfortable working in a fast-paced environment and managing multiple priorities simultaneously.
• Must be able to work core aligned hours to US Eastern Time / GMT-5

Специализация
Информационные технологии
Отрасль и сфера применения
Data Analysis
Уровень должности
Миддл Сеньор

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