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
- Solid 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.

📌 Senior Data Engineering Lead at Capgemini (Vancouver)
🏢 Socket.dev
📍 Vancouver