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1 день назад

Senior Analytics Data Engineer (Supply Chain)

Формат работы
remote
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Argentina/Mexico/Peru
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Analytics Data Engineer (Supply Chain): Collaborate with stakeholders to translate complex supply chain operations into scalable data models, pipelines, and analytics structures with an accent on end-to-end data orchestration and software engineering best practices. Focus on designing robust architectures, ensuring data quality, and delivering decision-ready products in Agile environments.

Location: 100% remote, must reside in Latam (Buenos Aires / Lima / Ciudad de México / Córdoba / Mendoza / Monterrey / Rosario)

Company

hirify.global designs and delivers scalable digital solutions for global companies with a product-oriented mindset and focus on technical excellence.

What you will do

  • Collaborate with technical and non-technical stakeholders to understand processes and data requirements.
  • Build and maintain end-to-end data pipelines for ingestion, transformation, and serving.
  • Translate business processes into scalable data models and analytics solutions.
  • Design data architectures and orchestration workflows.
  • Apply software engineering best practices to ensure code quality, documentation, and operational excellence.

Requirements

  • 4+ years in Supply Chain and Operations Analytics
  • 3–4+ years hands-on with SQL / PL-SQL, Snowflake Scripting, or Python
  • Experience building and maintaining end-to-end data pipelines
  • Experience translating business processes into scalable data models
  • Experience designing data architectures and orchestration workflows
  • Strong understanding of software engineering best practices applied to data
  • Experience in Agile environments
  • Advanced English
  • Bachelor’s degree in technical or analytical field

Nice to have

  • Experience with ERP/planning systems (SAP, JDE, QAD, SAP APO, Blue Yonder)
  • Experience with dbt or Coalesce
  • Experience with Informatica, Alteryx, Knime, or Dataiku
  • Experience with Power BI, Tableau, Spotfire, Power Apps, or Power Automate
  • Experience with data modeling tools (MIRO, Erwin, PowerDesigner)
  • Experience with API scripting for data extraction
  • Experience in regulated industries (Healthcare, Medical Devices, Aerospace)

Culture & Benefits

  • 100% remote work
  • Long-term commitment with autonomy and impact
  • Strategic, high-visibility role in modern engineering culture
  • Collaborative international team and strong technical leadership
  • Career development and growth opportunities

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