Capgemini is looking for a Data Engineer skilled in Snowflake and Databricks, ready to shape data solutions and analytics initiatives. Help unlock the potential of data for global organizations. In this role at Capgemini, you will design, develop, and maintain scalable solutions that empower enterprise analytics.

Your responsibilities will include optimizing ETL/ELT pipelines and writing complex SQL queries to meet business requirements. Collaboration is key, as you'll partner with analysts and developers to deliver comprehensive data solutions. Key Responsibilities:

- Design scalable data analytics solutions with Snowflake
- Optimize ETL/ELT processes for various data types
- Develop Python-based automation and integration services




- Craft SQL queries for data transformation and validation
- Support CI/CD deployments and application performance monitoring Requirements:
- 5+ years in software application development
- 3+ years' experience in Snowflake and/ or Databricks
- Advanced skills in Python, SQL, and data integration
- Knowledge of cloud platforms like Azure or AWS
- Familiarity with Agile development and performance optimization Enhance your career while driving data solutions at Capgemini, impacting how businesses leverage technology.

📌 Data Engineer Role with Snowflake Expertise (Montreal)
🏢 Capgemini
📍 Montreal