**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.** **Your Role** ------------- **As a** **Data Engineer** **in our team, you will be responsible for assessing complex new data sources and quickly turning these into business insights. You also will support the implementation and integration of these new data sources into our Azure Data platform.** **Responsibilities** * **You are detailed reviewing and analyzing structured, semi\-structured and unstructured data sources for quality, completeness, and business value.** * **You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.** * **You participate in early state design and feature definition activities.** * **Responsible for implementing robust data pipeline using** **Microsoft, Databricks Stack** * **Responsible for creating reusable and scalable data pipelines.** * **You are a Team\-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.** * **You have strong communication skills to effectively convey complex data insights to non\-technical stakeholders** **Your Skills** --------------- * **Advanced working knowledge and experience with relational and non\-relational databases.** * **Advanced working knowledge and experience with API data providers** * **Experience building and optimizing Big Data pipelines, architectures, and datasets.** * **Strong analytic skills related to working with structured and unstructured datasets.** * **Hands\-on experience in** **Azure Databricks utilizing Spark to develop ETL pipelines.** * **Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.** * **Strong experience in** **Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.** * **Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.** * **Azure DevOps experience to deploy the data pipelines through CI/CD.** **Your Profile** ---------------- * **5 to 9 years of Data Engineering experience with minimum 4 years of relevant experience in the Azure Domain** * **Azure cloud stack in\-production experience.** * **Bachelor’s degree in computer science, software engineering, information technology, or a related field.** **Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55\-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end\-to\-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.**