Azure Data Engineer - ETL Pipelines (ADF & Databricks)

Capgemini; Buenos Aires; Presencial; ARS 1.200.000 - 1.900.000; Jornada completa

Descripción de la vacante

Capgemini Engineering designs and delivers data engineering solutions in Argentina, focused on Azure Data Factory—building scalable pipelines and ETL processes to support analytics and reporting. You will collaborate with data analysts, data scientists, and business stakeholders to ensure robust data availability and quality.

The role requires 3+ years in data engineering, Python proficiency, and strong ETL/ELT knowledge.

Formación

• Bachelor’s degree in CS, engineering, info systems, or related field.
• 3+ years of data engineering experience.
• Proficiency in Python.
• Experience with Azure Data Factory.
• Knowledge of ETL/ELT processes.
• Familiarity with Databricks, Power BI, or Azure DevOps.
• Agile/Scrum experience preferred.

Responsabilidades

• Identify and troubleshoot root causes of failures in pipelines built with Azure Data Factory.
• Review team monitoring reports to identify issues and create corresponding User Stories / PBIs for resolution.
• Monitor the status of Databricks jobs and ADF pipelines.
• Understand ETL and ELT concepts.
• Work with Azure Cloud Services, Azure Data Factory and Python / SPARK (Azure Databricks).

Conocimientos

Azure Data Factory

Python

Databricks

Power BI

Azure DevOps

Educación

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

Herramientas

Databricks

Azure DevOps

Power BI

Descripción del empleo

Capgemini Engineering designs and delivers data engineering solutions in Argentina, focused on Azure Data Factory—building scalable pipelines and ETL processes to support analytics and reporting. You will collaborate with data analysts, data scientists, and business stakeholders to ensure robust data availability and quality.

The role requires 3+ years in data engineering, Python proficiency, and strong ETL/ELT knowledge.