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 cooperative, hybrid workplace.
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
• Robust 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 environment.
J-18808-Ljbffr

📌 Senior Data Engineering Lead At Capgemini Vancouver
🏢 Socket.dev
📍 Vancouver