Capgemini is looking to unlock the value of technology and build a more sustainable, more inclusive world for the world's leading organizations
Requirements
- Strong proficiency in Databricks (including Spark-based data processing)
- Strong programming skills in Python
- Advanced knowledge of SQL for querying and data modeling
- Familiarity with Azure cloud and ADF
- Understanding of ETL frameworks, data governance, and performance tuning
- Knowledge of CI/CD practices and version control (Git)
- Exposure to BI tools (Power BI, Tableau) for data visualization
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using Databricks
- Design an develop Python scripts for data transformation, automation, and integration tasks
- Develop and optimize SQL queries for data extraction, transformation, and loading
- Collaborate with data scientists, analysts, and business stakeholders
- Ensure data integrity, security, and compliance with organizational standards
- Participate in code reviews and contribute to best practices in data engineering
Other
- 3-5 years of professional experience in data engineering or related roles
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
