Join Capgemini as a Lead Data Engineer, leveraging over 8 years of experience in data engineering, cloud technologies, and team leadership. This hybrid role emphasizes innovation in crafting data solutions for impactful business insights. In this pivotal role, you will develop scalable data pipelines using advanced technologies such as Microsoft Fabric, Azure Data Factory, and PySpark.

Your collaboration with cross-functional teams and your technical acumen will ensure the delivery of robust data solutions that drive strategic decision-making. Key Responsibilities:
Build and implement data pipelines using Microsoft Fabric
Develop and optimize ETL/ELT processes for efficiency
Maintain data security and compliance standards
Collaborate with teams to gather and deliver requirements
Lead and mentor data engineering teams effectively Requirements:
Minimum 8 years in data engineering and warehousing
Advanced Python and SQL programming skills
Proficiency in Azure data services and technologies
Robust abilities in team leadership and mentoring
Experience in cloud migration is a plus Drive data excellence and innovation as a Lead Data Engineer at Capgemini.

📌 Lead Data Engineer Role At Capgemini Vancouver (Canada)
🏢 Socket.dev
📍 Canada