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Job Description
Job Summary
We are seeking a skilled and motivated Data Engineer with expertise in Azure Data Factory (ADF) to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes using Azure services. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for analytics and reporting.
Responsabilities
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 STpries / 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).
Qualifications
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 specially in Azure Data Factory.
Ability to review monitoring reports and create PBIs for necessary fixes.
Focus on system maintenance.
Prefered qualifications
Azure certifications (e.g., Azure Data Engineer Associate).
Experience with Databricks, Power BI, or Azure DevOps.
Exp

📌 Jr/Ssr Data Engineer (Buenos Aires)
🏢 Capgemini
📍 Buenos Aires