🛠 Tech Stack

💼 About This Role

You'll own and evolve the data infrastructure that processes over 200 million orders yearly for world's largest retailers. Your core impact is embedding data deeper into the business and pushing the AI/ML layer forward.

🎯 What You'll Do

• Own architecture and optimization of BigQuery warehouse end-to-end
• Shape distributed systems for high-throughput processing and real-time analytics
• Deliver data capabilities to data scientists, engineers, and product stakeholders
• Improve reliability, automation, and monitoring of infrastructure

📋 Requirements

• 4+ years building high-scale data pipelines and managing cloud data warehouses
• Hands-on experience with Kafka, CDC tools, and Airflow/dbt
• Deep command of SQL and NoSQL ecosystems - Postgres, Redis, Elastic
• Solid backend development skills with strong OOP/OOD fundamentals

✨ Nice to Have

• Exposure to MLOps and production AI/ML model deployment
• Experience with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor)
• Familiarity with DevOps and async systems: Pulumi/Terraform, RabbitMQ, Docker

🎁 Benefits & Perks

• 🌍 Own real-scale infrastructure relied on by global retailers
• 🚀 High autonomy with minimal structure and strong support
• 🧠 Self-directed, curious team with high stakes and real impact

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Hiring manager interview· 45 min