🛠 Tech Stack

💼 About This Role

You'll join a global consumer tech ecosystem to design high-performance data architectures powering advanced analytics and machine learning. You'll build cloud-native pipelines and collaborate with data science and analytics teams to enable smarter decision-making at scale.

🎯 What You'll Do

• Architect and scale robust ETL pipelines using modern big data and cloud-native technologies
• Design and maintain end-to-end data workflows for analytics and ML
• Develop and manage Airflow-based workflows for automated data processing
• Optimize large-scale datasets and complex SQL queries for performance

📋 Requirements

• 2–3+ years as a Data Engineer or ML Engineer in production environments
• AWS expertise (S3, Glue, Athena, Redshift, Lambda, EC2, etc.)
• Python (OOP) and advanced SQL optimization
• Apache Airflow for workflow orchestration

✨ Nice to Have

• CI/CD practices with GitHub Actions or GitLab
• Docker and Kubernetes (EKS/ECS, ECR)
• Experience operationalizing ML models in batch and real-time

🎁 Benefits & Perks

• 🏖️ 100% remote work
• 💵 Competitive USD-based compensation
• ⏳ Paid time off
• 🤖 Cutting-edge AI and data technologies
• 🌍 International diverse team

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min