Capgemini Recruitment 2026: Capgemini Recruitment 2026 is open for Data & Analytics roles in India. Check eligibility, required skills, job locations, salary details, and apply online through the official Capgemini careers page.

🔍 About Capgemini:

A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion.

💼 Job Role: Data & Analytics

Location: Bangalore

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Job Description:

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.

Skills:

Data Architecture & Data Modeling
Data Engineering, ETL/ELT & Data Integration
Data Warehousing & Lakehouse Architecture
Data Governance, Data Quality & MDM
Data Analysis, Profiling & Transformation
Business Intelligence & Data Visualization
Statistical Analysis & Advanced Analytics
SQL, Python, PySpark & Big Data Processing
Cloud Data Platforms & Analytics Ecosystems
Data Security, Privacy & Compliance
DataOps, CI/CD & Automation
Stakeholder Management & Technical Leadership

Preferred Technologies:

Data Platforms & Cloud:

Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Snowflake

Data Engineering & Big Data:

Apache Spark, Databricks, Kafka, Hadoop

Databases:

SQL Server, Azure SQL Database, PostgreSQL, Oracle, Cosmos DB

Analytics & Visualisation:

Power BI, Tableau, Qlik Sense

Data Governance & Quality:

Microsoft Purview, Collibra, Informatica Data Quality, Great Expectations

Programming & Analytics:

SQL, Python, PySpark, Pandas, NumPy, Scikit-learn

DevOps & Collaboration:

Azure DevOps, GitHub, GitHub Actions, Docker, Jira, Confluence

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📌 Eligibility Criteria

Qualification: B.E / B.Tech
Work Experience: Freshers / Experienced

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✅ How to Apply for Capgemini Recruitment 2026?

Interested candidates can apply online by clicking the application link below:

👉 Click Here to Apply Now

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