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7 дней назад

Data Engineer (LATAM)

Формат работы
remote (только Latam)
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (Azure/Microsoft Fabric): Building scalable, secure, and governed lakehouse platforms and data pipelines for analytics, Generative AI, and Agentic AI with an accent on Azure Databricks, Microsoft Fabric, data integration, and governance. Focus on designing batch and streaming architectures, delivering analytics-ready datasets, building data APIs, and solving data quality, security, and performance challenges.

Location: Remote; candidates must be located in Latin America (LATAM)

Engagement: Full-time, long-term

Company

hirify.global provides engineering services and supports delivery of modern data platforms for enterprise clients, including a US-based client that is a global customer experience technology and consulting company and a top-tier Microsoft partner.

What you will do

  • Design, build, and maintain batch and streaming data pipelines with Microsoft Fabric, Azure Data Factory, Azure Databricks, Python, PySpark, and SQL.
  • Ingest, clean, transform, and deliver data from structured, semi-structured, and unstructured sources into governed lakehouse environments.
  • Implement Medallion Architecture patterns across ADLS Gen2, OneLake, and Delta Lake, and apply data modeling for analytics, Power BI, and reporting.
  • Build and consume APIs and reusable data services for reporting, applications, and downstream analytics.
  • Implement data quality checks, monitoring, security, access control, and governance; troubleshoot pipeline, performance, and data discrepancies.
  • Document data flows and models, participate in code reviews and agile ceremonies, and collaborate with architects, data scientists, and client stakeholders.

Requirements

  • 5+ years in technology, including significant experience with enterprise data platforms, cloud, and analytics.
  • Strong experience building Data & Analytics solutions on Microsoft Azure.
  • Experience with the Azure data ecosystem, including Azure Data Factory, Microsoft Fabric, ADLS Gen2, and/or Azure Databricks.
  • Strong technical foundation in SQL, Python, Spark, distributed processing, data modeling, integration patterns, and APIs.
  • Strong understanding of Medallion Architecture, data products, semantic layers, batch and streaming architectures, and event-driven integration.
  • Knowledge of Azure security, including Entra ID, RBAC, managed identities, Key Vault, VNets, and Private Link/private endpoints.
  • Understanding of ETL/ELT and the end-to-end data lifecycle from ingestion through activation.
  • Familiarity with APIs, Git, and basic CI/CD concepts.
  • Upper-Intermediate English level or higher.

Nice to have

  • Experience with Delta Lake and Unity Catalog.
  • Experience with Azure DevOps.

Culture & Benefits

  • Remote work and a flexible working schedule.
  • Full-time, long-term engagement with direct cooperation with the customer.
  • Up to 20 working days of vacation, 10 working days of sick leave, and national holidays as time off.
  • Dynamic environment with low bureaucracy, strong team spirit, diverse business domains, and varied technology stacks.
  • Communication with top- and senior-level specialists, online teambuildings, and opportunities to strengthen technical skills.

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Python jobsSQL jobs