Azure Data Factory Data Engineer (Remote/Hybrid)
Summary
Data Engineer at Capgemini Mexico designing, building, and maintaining scalable data pipelines with Azure Data Factory and Spark on Azure Databricks, ensuring reliable data for analytics and reporting. Requires 3+ years in data engineering with strong Python and ETL/ELT skills; remote/hybrid options available.
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.