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2 дня назад

Lead Data Engineer (Azure)

Формат работы
remote (только Mexico)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Lead Data Engineer (Azure): Building and optimizing robust data platforms leveraging Data Lakehouse architectures with an accent on the Azure data ecosystem and scalable ETL/ELT pipelines. Focus on architecting Microsoft Fabric reporting solutions, ensuring strict data governance, and developing AI-ready data pipelines for GenAI integration.

Location: Remote (Mexico)

Company

hirify.global is a global software product development company that leverages cutting-edge technologies to enable data-driven decision-making for its clients.

What you will do

  • Lead the creation of robust data platforms using Data Lakehouse architectures and the Azure ecosystem (Microsoft Fabric, Azure SQL, Power BI).
  • Design and implement scalable data models, ETL/ELT pipelines, and analytics layers.
  • Architect Microsoft Fabric reporting solutions, establishing medallion layering and managing capacity planning.
  • Enforce data-layer segregation to exclude PII and maintain multi-tenant isolation and regulated data retention policies.
  • Lead complex migration efforts from legacy systems (AirTable, Smartsheet) to Microsoft Fabric.
  • Oversee the development of AI-ready data pipelines to feed scrubbed data to embeddings, vector stores, and GenAI tools.

Requirements

  • 7-10 years of relevant experience in data engineering and business intelligence.
  • Hands-on expertise (min 2 years) with Azure SQL, Microsoft Fabric, and Power BI.
  • Advanced SQL skills and proficiency in Python for ETL/ELT workflows and automation.
  • Deep understanding of Data Lakehouse concepts, medallion architecture, and dimensional modeling.
  • Proven track record of leading analytics projects as a player-coach.
  • Must be based in Mexico.

Nice to have

  • Experience working with DBT.
  • Experience with other BI tools.
  • Experience with GenAI tools or technologies.

Culture & Benefits

  • Comprehensive medical and life insurance.
  • 15 days of paid vacation plus tenure-based additions, sick leave, and paid holidays.
  • Profit sharing and Christmas bonuses per local law.
  • Work from home allowance and food tickets.
  • Paid professional certifications and a remote-first work approach.

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