Data Engineer (ETL,Azure)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions leveraging AI, technology, and people, with 2025 global revenues of €22.5 billion.

• 3-6 years of experience in data engineering (ETL, integration, modeling).
• Strong knowledge of AWS or Azure, or both services (Azure Databricks, 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.