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Azure Data Engineer – Full‑time (Hybrid in Mexico)

Epsilon LATAM. · Mexique

Hybrid 🇬🇧 English
Python Spark Databricks Azure Data Factory Azure Cloud Services Event Hubs Snowflake

Job description

About the role

We are looking for an experienced Azure Data Engineer to join our team on a full‑time basis. The position is hybrid, allowing you to work from our offices in Guadalajara, Monterrey or Mexico City while also supporting remote collaboration.

Key responsibilities

  • Design, develop and maintain scalable ETL/ELT pipelines using Databricks and Azure Data Factory.
  • Integrate third‑party systems and APIs, including Event Hubs and Snowflake, into data workflows.
  • Optimize Azure resources for performance, security and cost efficiency.
  • Collaborate with data analysts and engineers to ensure data quality and availability.

Required profile

  • Bachelor's degree completed.
  • Advanced/expert‑level proficiency in Python and Spark.
  • Proven experience designing and operating ETL processes in Azure environments.
  • Strong understanding of cloud storage, security and resource optimization on Azure.

Required skills

  • Python
  • Spark
  • Databricks
  • Azure Data Factory
  • Azure Cloud Services
  • Event Hubs
  • Snowflake
  • API integration

What we offer

  • Full‑time permanent contract with benefits.
  • Hybrid work model across three major Mexican cities.
  • Opportunities for professional growth in a cloud‑focused environment.

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Published 3 months ago

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Epsilon LATAM.

Mexique