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.
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📌 Lead Data Engineer Role at Capgemini (British Columbia)
🏢 Socket.dev
📍 British Columbia