Lead Data Engineer - Remote

Overview

The Lead Data Engineer at Allergan Aesthetics will be responsible for collaborating with cross-functional teams to develop and maintain data products, ensuring high-quality standards and adherence to best practices in data engineering.

In Short

• Lead data engineering efforts and collaborate with key stakeholders.
• Oversee technical solutions and communicate project milestones.
• Develop, optimize, and maintain ETL processes.
• Review code and provide technical guidance.
• Implement monitoring and alerting systems.
• Ensure data quality and compliance with regulations.
• Stay updated with industry trends and technologies.
• Mentor and guide team members.
• Experience with AWS and cloud solutions.
• Strong programming skills in Python.

Requirements

• BS, MS, or PhD in a related field.
• 7+ years of experience in data engineering or software engineering.
• Knowledge of data modeling and quality checks.
• Experience with tools like Git, Docker, and Kubernetes.
• Strong communication skills.
• Leadership experience.

Benefits

• Comprehensive benefits package including medical, dental, and vision insurance.
• Paid time off including vacation and holidays.
• Participation in short-term and long-term incentive programs.