SOFT SKILLS:

Work Underpressure, Quality at work, Results Oriented

What can YOU expect in a career with Capgemini?

• Working in a team environment, Consultants will focus on the analysis, design and development of technology-based solutions for Capgemini’s clients.
• You will work alongside technical, functional and industry specialists to assist with the development, implementation and integration of innovative system solutions including methods, techniques and tools.
• You will contribute to client satisfaction by providing timely and responsive value-added services and work products.
• Capgemini offers a competitive compensation and benefits package.
• Headquartered in Paris, France, Capgemini has a presence of more than 340 thousand professionals in Mexico distributed among 3 sites located in Mexico City, Monterrey and Aguascalientes. A deeply multicultural organization.
• Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore, its worldwide delivery model.

• Build, optimize, and maintain scalable data pipelines to process large datasets from various sources using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Implement ETL (Extract, Transform, Load) processes to integrate and transform data for analytical and operational purposes.
• Design and implement cloud-based data architectures using Azure SQL Database, Azure Data Lake Storage, Azure Blob Storage, and Azure Synapse Analytics.
• Build and manage data lakes, data warehouses, and data marts to enable seamless data flow and storage.
• Develop and maintain backend systems that handle data processing, storage, and retrieval with technologies such as Python, Spark, SQL, and Azure Data Factory.
• Ensure data consistency, quality, and reliability across multiple systems and services.
• Build and maintain data visualization applications, dashboards, and data exploration tools using Power BI, Azure Synapse, or other front-end tools.
• Create user-friendly data interfaces and reports for business users, ensuring that data insights are accessible and actionable.
• Work with both relational and non-relational databases on Azure, including Azure SQL Database, Cosmos DB, and Azure Data Warehouse.
• Optimize and tune databases for performance, including query optimization, indexing, and partitioning.
• Automate data workflows and deployment pipelines using Azure DevOps, Terraform, or similar infrastructure-as-code tools.
• Implement CI/CD (Continuous Integration/Continuous Deployment) processes for data systems and analytics solutions.
• Implement best practices for data security, including encryption, role-based access control (RBAC), and data masking.
• Ensure compliance with data governance policies and standards, ensuring the data is clean, accurate, and available.
• Work closely with data scientists, analysts, and business stakeholders to understand data needs and provide solutions.
• Provide technical leadership and mentorship to junior team members, helping them grow their skills in cloud data engineering.
• Monitor and optimize the performance of data systems, ensuring high availability and scalability.
• Troubleshoot and resolve issues related to data integration, transformation, and reporting.