Summary from listing
Capgemini Engineering is hiring a Data Engineer to design, develop, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory, Azure Cloud Services, Python, Spark, and Azure Databricks. The role involves troubleshooting pipeline failures, monitoring Databricks jobs and ADF pipelines, reviewing monitoring reports, and creating PBIs for resolution. Candidates need a bachelor’s degree in a relevant field, at least three years of data engineering or related experience, Python proficiency, and strong ETL/ELT knowledge; Azure certifications, Databricks, Power BI, Azure DevOps, and Agile/Scrum experience are preferred.
