Senior Data Visualization Engineer

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group has over 360,000 team members globally in more than 50 countries. The Insights & Data team consists of over 400 professionals focused on delivering advanced data-driven solutions, specializing in Cloud & Big Data engineering across AWS, Azure, and GCP.

• Strong experience in Microsoft Power BI, including the Cloud edition with strong proficiency in DAX and Power Query.
• Technical skills and good business understanding/interest.
• Good knowledge of Azure Synapse and Power Platform stacks.
• Experience with Power BI administration, including workspace management and security settings.
• Proficiency in SQL and experience integrating data from various sources.
• Ability to model data using Kimball, Dimensional modelling, and Data Vault.
• Experience with Cognos BI reporting is a plus.
• Knowledge of Business Intelligence methodology and agile development methods such as SCRUM is an asset.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to manage multiple tasks and prioritize effectively.

• Collaborate with stakeholders to gather requirements and translate them into effective dashboard solutions using UI/UX.
• Design, develop, and implement interactive and visually appealing Power BI dashboards.
• Ensure full testing for reports and dashboards.
• Optimize reports for performance and ensure they meet user requirements.
• Manage and administer Power BI services, including workspace management, data gateway configuration, and user access control.
• Monitor system performance, troubleshoot issues, and ensure high availability and reliability of the Power BI environment.
• Implement best practices for security, data governance, and compliance within Power BI.
• Integrate data from multiple sources, including On-prem and cloud-based data sources like SQL, Oracle, Mainframe, Hadoop databases, files, and O365 sources.
• Develop and manage ETL processes to ensure data accuracy, consistency, and reliability.
• Create and manage semantic models to centralize and standardize data for use across multiple reports and dashboards.
• Participate in code reviews and provide feedback to ensure high-quality deliverables.
• Support users in their development and usage of the reporting tools.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. Individuals are evaluated based on qualifications and performance, not personal characteristics.