Senior Azure Data Engineer @ Capgemini

YOUR PROFILE strong experience in Big Data or Cloud projects in the areas of processing and visualization of large and unstructured datasets (in different phases of Software Development Life Cycle); practical knowledge of the Azure cloud in Storage, Compute (Serverless), Networking and DevOps areas supported by commercial project work experience; very good knowledge of Python and SQL; practical Azure cloud knowledge (for example from the MS Learn courses) supported with certificates (for example from the Microsoft Certified: Azure Developer Associate certification); ability to design, implement, and maintain large-scale data processing pipelines using Azure Data Factory, Databricks, and Power BI; experience in working with big data technologies such as Hadoop, Spark, and Hive; knowledge of data governance and compliance regulations (e.g. GDPR, HIPAA) and ability to apply them in a cloud-based environment; strong understanding of the importance of data quality, data security, and data integrity; ability to work collaboratively with cross-functional teams to deliver high-quality solutions; excellent communication and interpersonal skills; experience working in an Agile environment using Scrum or Kanban methodologies; ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines; strong analytical and problem-solving skills; ability to learn quickly and adapt to new technologies and tools.