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As a GCP Data Engineer Lead Consultant, you will design and implement data solutions on GCP, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

The role involves data modeling, troubleshooting complex issues, optimizing storage architectures and mentoring junior engineers while working with GCP and Python.

Design and develop scalable backend applications, optimize performance, ensure security, mentor junior developers, and maintain DevOps practices.

The role involves building scalable ML/AI applications, implementing models in production, and defining best practices in ML operations. The engineer will lead projects, support juniors, and engage with teams.

Design and oversee data architecture, ensure compliance, create data processing frameworks, and lead data engineering teams. Collaborate with stakeholders to meet business needs.Data governance and performance optimization included.

The Azure Data Engineer will provide technical expertise and direction, support project management, design data solutions, ensure quality standards, and maintain compliance with security regulations in a cloud environment.