Azure Data Factory Data Engineer (Remote/Hybrid)

The Big Jobsite; Aguascalientes; A distancia; MXN 420.000 - 780.000; Jornada completa

Descripción de la vacante

Capgemini Mexico is seeking a Data Engineer to design, build, and maintain scalable data pipelines using Azure Data Factory and Spark on Azure Databricks. The role requires 3+ years in data engineering, strong Python skills, and a solid ETL/ELT foundation.

You will collaborate with analysts and stakeholders to ensure reliable data for analytics and reporting. Remote/hybrid work options are available; familiarity with Power BI and Azure DevOps is a plus.

Formación

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 3+ years of experience in data engineering or related role.
• Proficiency in Python.
• Strong understanding of ETL/ELT processes.
• Experience with Azure Cloud Services, especially in Azure Data Factory.
• Ability to review monitoring reports and create PBIs for fixes.
• Focus on system maintenance.

Responsabilidades

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Identify and troubleshoot root causes of pipeline failures in ADF.
• Review monitoring reports and translate issues into PBIs for the team.
• Monitor Databricks jobs and ADF pipelines.
• Collaborate with analysts, scientists, and stakeholders to ensure data accessibility and reliability.
• Work with Azure Cloud Services using Python / Spark (Azure Databricks).

Conocimientos

Python

ETL/ELT concepts

Data pipelines

Analytical thinking

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Azure Data Factory

Azure Databricks

Power BI

Azure DevOps

Descripción del empleo

Capgemini Mexico is seeking a Data Engineer to design, build, and maintain scalable data pipelines using Azure Data Factory and Spark on Azure Databricks. The role requires 3+ years in data engineering, strong Python skills, and a solid ETL/ELT foundation.

You will collaborate with analysts and stakeholders to ensure reliable data for analytics and reporting. Remote/hybrid work options are available; familiarity with Power BI and Azure DevOps is a plus.