🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data. You'll own the ingestion, modeling, and transformation of structured and unstructured data to support business intelligence and analytics. You'll contribute to a high-performance engineering culture by mentoring peers and driving data quality.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of data
• Partner with BI and Analytics to deliver clean datasets
• Maintain database monitoring and anomaly detection workflows
• Serve as internal point of contact for reporting infrastructure

📋 Requirements

• 5+ years of experience in data engineering within cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices

✨ Nice to Have

• Experience mentoring peers and shaping engineering culture
• Cross-functional collaboration skills with BI and analytics teams
• Strategic thinking and proactive ownership

🎁 Benefits & Perks

• 🌍 Remote-first global team spanning over 15 countries
• 🚀 High-growth, high-performance culture with ownership and impact
• 💰 Competitive compensation (estimated range)
• 📈 Career acceleration through owning outcomes and fast execution
• 🤝 Collaborative cross-functional teams

📨 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