AI Data Engineer (Data Engineering, Cloud Platform, Python)

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 expertise across strategy, technology, design, engineering, and business operations.

• 3+ years of experience in Data Engineering or related roles
• Strong programming skills in Python and SQL
• Experience with PySpark, Apache Spark, Kafka, or Hadoop
• Familiarity with Databricks, Snowflake, BigQuery, or Redshift
• Knowledge of AWS, Azure, or Google Cloud Platform
• Experience with Airflow, dbt, Docker, and Kubernetes
• Understanding of CI/CD pipelines and version control tools
• Familiarity with Vector Databases and LLM Frameworks is a plus
• Strong analytical and communication skills
• Ability to work in a fast-paced and collaborative environment

• Develop and maintain ETL/ELT pipelines for enterprise data platforms
• Process and transform large-scale structured and unstructured datasets
• Support AI and machine learning data preparation workflows
• Integrate data from APIs, databases, and cloud services
• Monitor and improve data quality, reliability, and pipeline performance
• Collaborate with Data Scientists, Analysts, and Engineering teams
• Support deployment and automation of cloud-based data solutions
• Troubleshoot and resolve production data issues

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