Capgemini is seeking a Senior Data Engineering Lead with over 8 years of experience in data engineering, cloud platforms, and data warehousing. This role focuses on building scalable data solutions in a collaborative, hybrid environment.

As a leader in data engineering, you'll manage projects, mentor a skilled team, and design data pipelines with Microsoft Fabric, Azure Data Factory, and PySpark. Your expertise in cloud platforms and strong technical skills will guide teams in delivering high-quality data solutions that meet business needs.

Key Responsibilities:
• Design and implement scalable data pipelines
• Maintain ETL/ELT processes across various platforms
• Optimize large-scale data workflows for performance




• Ensure compliance with data governance and security
• Collaborate with stakeholders to deliver effective solutions

Requirements:
• 8+ years in data engineering and cloud services
• Strong programming skills in Python and SQL
• Experience with Azure Data Lake and Azure Synapse
• Proven leadership and mentoring abilities
• Familiarity with Databricks and Power BI preferred

Lead data engineering initiatives at Capgemini and optimize data solutions in a technology-driven setting.
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📌 Senior Data Engineering Lead at Capgemini (British Columbia)
🏢 Socket.dev
📍 British Columbia