Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Responsibilities 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 Stories / 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 (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, especially Azure Data Factory. Ability to review monitoring reports and create PBIs for necessary fixes. Focus on system maintenance. Preferred qualifications Azure certifications (e.g., Azure Data Engineer Associate). Experience with Databricks, Power BI, or Azure DevOps. Experience working in Agile/Scrum environments. When you join Capgemini, you don’t just start a new job. You become part of something bigger. Learn about how the recruitment process works – how to apply, where to follow your application, and next steps. To help you bring out the best of yourself during the interview process, we’ve got some great interview tips to share before the big day. #J-18808-Ljbffr