Data Engineer (ETL,Azure)

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. With a 55-year heritage and deep industry expertise, Capgemini addresses the entire breadth of business needs, from strategy and design to operations, fueled by cloud, data, AI, connectivity, software, digital engineering, and platforms.

• 3-6 years of experience in data engineering (ETL, integration, modeling).
• Strong knowledge of AWS or Azure, or both services (Azure Databrick, Data Lake, Data Factory, Glue, Synapse, Snowflake, AWS Redshift).
• Proficiency in Python and SQL.
• Familiarity with CI/CD tools and basic DevOps concepts.
• Understanding of data integration and data quality principles.
• English at B2 level or higher.
• Healthcare or fintech/pharma project experience is a plus.

• Design, implement, and maintain data processing solutions in AWS and Azure environments.
• Build and optimize ETL pipelines and data integration workflows.
• Develop and maintain data pipelines using Azure Data Factory, Synapse, and Databricks.
• Ensure data quality, security, and compliance standards across all solutions.
• Collaborate with analysts, business stakeholders, and cross-functional teams to deliver reliable data solutions.
• Support data architecture improvements and cloud migration projects.