Data Engineer for Customer Service Optimization
4 days ago
About the Role
We are seeking an experienced Data Engineer to join our Worldwide Capacity Planning team at Amazon. As a key member of our Forecasting team, you will design, implement, and support critical datasets that provide actionable business insights to stakeholders.
Your Responsibilities:
- Design and develop large-scale data pipelines to extract insights from complex data sources
- Collaborate with cross-functional teams to drive technical strategy and ensure seamless integration with existing systems
- Mentor junior engineers on best practices and share knowledge to drive innovation and growth
- Develop and maintain high-performance queries to optimize business-critical operations
Requirements:
- 7+ years of experience in data engineering with expertise in SQL and modern scripting languages (e.g., Python, Java, Scala)
- Proven track record of designing and implementing scalable data solutions in big data technologies (Hadoop, Hive, Spark)
- Strong understanding of efficient data mining and statistical modeling techniques
- Excellent communication and mentoring skills to drive collaboration and innovation across teams
About the Team
You will be part of a dynamic team that owns end-to-end workforce planning and execution for Amazon's customer service network. Our mission is to deliver high-quality customer service at optimal cost, driving improvements in cost and quality globally.
About Amazon
Amazon is committed to a diverse and inclusive workplace. We value people with unique backgrounds, experiences, and skillsets. As a total compensation company, we offer a comprehensive benefits package, including medical, dental, and vision coverage, paid time off, 401(k) plan, and more.
Estimated Salary Range: $139,100/year - $240,500/year based on market location and job-related factors.
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