Azure Data Engineer: Modern ETL Pipelines & Databricks

Capgemini Engineering

Buenos Aires

Presencial

ARS 2.000.000 - 3.600.000

Jornada completa

Hace 3 días

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Descripción de la vacante

Capgemini Engineering in Buenos Aires seeks a Data Engineer specialized in Azure Data Factory to design, develop and maintain scalable data pipelines and ETL processes, collaborating with analysts, data scientists and stakeholders to ensure reliable analytics-ready data.

The role requires a BS in CS/Engineering, 3+ years in data engineering, Python proficiency, and experience with Azure Data Factory, Databricks, and Azure cloud services; knowledge of ETL/ELT and agile environments 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.

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 PBIs for resolution.
Monitor the status of Databricks jobs and ADF pipelines.
Understand the concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
Work with Azure Cloud Services, Azure Data Factory and Python / SPARK (we use Azure Databricks).