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 solid 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 solutionsRequirements:- 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 preferredLead data engineering initiatives at Capgemini and optimize data solutions in a technology-driven environment.#J-18808-Ljbffr

📌 Lead, Data Engineering - C$105,000 - C$155,000 A Year (Winnipeg)
🏢 Capgemini
📍 Winnipeg