Data Engineer

Responsibilities

• Optimize database integration and indexing strategies using DB2 and Elasticsearch
• Implement and manage indexing strategies and query optimization
• Support database integration using Java or Python technologies
• Maintain and improve data architectures within Snowflake environments
• Continuously learn and adopt new technologies to enhance data engineering workflows

Requirements

• 3-4 years of hands-on experience in Database management and Elasticsearch
• Proven experience working with DB2 and MSQL
• Strong knowledge of Elasticsearch indexing and query optimization
• Understanding of Snowflake architecture
• Ability to integrate databases with Java or Python

Preferred Qualifications

• Background working in Fraud or Financial Analytics

Benefits

• Competitive base compensation
• Paid time off including vacation, personal days, and sick leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) or RRSP)
• Life and disability insurance
• Employee assistance programs

About the Company

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. With over 340,000 team members in more than 50 countries, we leverage strengths in AI, cloud, and data to deliver end-to-end services and solutions for the world's leading organizations.