Data & Analytics

Your RoleYou will be responsible for defining enterprise-grade data architecture, leading analytics initiatives, and ensuring the delivery of scalable, high-quality data solutions. Working closely with business stakeholders, engineering teams, and governance functions, you will transform complex data landscapes into actionable insights and business outcomes.Your ProfileMandatory SkillsData Architecture & Data ModelingData Engineering, ETL/ELT & Data IntegrationData Warehousing & Lakehouse ArchitectureData Governance, Data Quality & MDMData Analysis, Profiling & TransformationBusiness Intelligence & Data VisualizationStatistical Analysis & Advanced AnalyticsSQL, Python, PySpark & Big Data ProcessingCloud Data Platforms & Analytics EcosystemsData Security, Privacy & ComplianceDataOps, CI/CD & AutomationStakeholder Management & Technical Leadership Preferred TechnologiesData Platforms & Cloud:Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake Storage, SnowflakeData Engineering & Big Data:Apache Spark, Databricks, Kafka, HadoopDatabases:SQL Server, Azure SQL Database, PostgreSQL, Oracle, Cosmos DBAnalytics & Visualization:Power BI, Tableau, Qlik SenseData Governance & Quality:Microsoft Purview, Collibra, Informatica Data Quality, Great ExpectationsProgramming & Analytics:SQL, Python, PySpark, Pandas, NumPy, Scikit-learnDevOps & Collaboration:Azure DevOps, GitHub, GitHub Actions, Docker, Jira, ConfluenceIn this role, you will:Define, design, and own end-to-end scalable data architectures from concept through production deployment.Collaborate with compliance, privacy, risk, information security, operations, and platform teams to ensure all business and regulatory requirements are addressed.Develop and implement strategies for data governance, metadata management, master data management, data quality, and data security.Provide technical leadership and advocate best practices for data architecture, engineering, and analytics initiatives.Establish reusable standards, frameworks, and design patterns across the data ecosystem.Lead data analysis and profiling activities, including data quality assessment, transformation rules, and integration requirements.Design, document, and maintain conceptual, logical, and physical data models.Oversee the complete data lifecycle, ensuring effective design, development, validation, documentation, and continuous improvement.Conduct advanced analytics to identify trends, generate actionable insights, and measure business performance.Develop impactful dashboards and visualizations that enable informed decision-making.Apply statistical techniques and analytical models to solve complex business challenges.Collaborate with data engineers, data scientists, and business stakeholders to deploy scalable analytics solutions.Drive analytical excellence, ensure solution quality, and lead successful delivery across projects.Organize, transform, and analyze large-scale structured and unstructured datasets to unlock business value.Define and continuously improve standards for data analysis, reporting, and analytics delivery.=What You'll Love About Working HereOpportunity to build enterprise-scale data and analytics solutions that drive measurable business impact.Exposure to modern cloud data platforms, advanced analytics, and AI-driven innovation.Collaborative environment with architects, engineers, analysts, and business leaders.Continuous learning through cutting-edge technologies and challenging projects.Flexible work environment that encourages innovation, ownership, and professional growthAbout Capgemini in IndiaCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion.Capgemini in India comprises nearly 235,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem, and Tiruchirappalli.Make it real | www.capgemini.com/in-en.