Job Description
**Data Engineer (México, Remote)**
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology.
**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 enginee...
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology.
**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 enginee...
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