Data Engineer, Personalization

Requirements

• Proven experience in data engineering
• Experience with data processing frameworks like Scio, DataFlow, Beam
• Comfortable working with large datasets and SQL
• Knowledgeable in cloud-based environments, preferably Google Cloud Platform
• Experience with A/B testing frameworks and experimentation platforms

What You'll Be Doing

• Designing, building, and maintaining scalable data pipelines
• Partnering with ML and Backend Engineers for search retrieval and recommendations
• Improving data stack health, reliability, observability, and efficiency
• Advocating for modern data engineering practices
• Contributing to technical direction for data usage in ML

Perks and Benefits

• Extensive learning opportunities through GreenHouse
• Flexible share incentives
• Global parental leave of six months
• Employee assistance program and self-care hub
• Flexible public holidays