Senior Data Engineering Lead at Capgemini

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 environment.
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