Senior Data Engineer: Azure Data Factory & Databricks

Capgemini Engineering; Tandil; Presencial; ARS 1.800.000 - 3.000.000; Jornada completa

Descripción de la vacante

Capgemini Engineering is seeking a Data Engineer with expertise in Azure Data Factory to design, develop, and maintain scalable data pipelines and ETL processes. You will collaborate with data analysts, data scientists, and stakeholders to ensure data is accessible, reliable, and optimized for analytics and reporting.

You will work with Azure cloud services, Databricks, and Python to build robust data workflows, monitor jobs, and implement best practices for data quality and governance in an

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 Data Factory.

Responsabilidades

• Identify and troubleshoot root causes of failures in pipelines built with Azure Data Factory.
• Review monitoring reports and create PBIs for resolution.
• Monitor the status of Databricks jobs and ADF pipelines.
• Work with Azure Cloud Services, Azure Data Factory and Python/Spark (Azure Databricks).

Conocimientos

Python

ETL/ELT

Data pipelines

Educación

Bachelor's degree

Herramientas

Azure Data Factory

Azure Databricks

Power BI

Azure DevOps

Descripción del empleo

Capgemini Engineering is seeking a Data Engineer with expertise in Azure Data Factory to design, develop, and maintain scalable data pipelines and ETL processes. You will collaborate with data analysts, data scientists, and stakeholders to ensure data is accessible, reliable, and optimized for analytics and reporting.

You will work with Azure cloud services, Databricks, and Python to build robust data workflows, monitor jobs, and implement best practices for data quality and governance in an