🛠 Tech Stack

💼 About This Role

You'll build and optimize scalable ETL pipelines and data lake infrastructure on AWS. You'll own data ingestion, modeling, and transformation to empower cross-functional teams. This role offers the chance to mentor peers and shape a high-performance engineering culture.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Ingest, model, and transform structured and unstructured data
• Maintain database monitoring, anomaly detection, and QA workflows
• Deliver ad hoc data analyses and ensure data integrity

📋 Requirements

• 5+ years of data engineering in 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 with Looker dashboards
• Experience mentoring peers

🎁 Benefits & Perks

• 🏖️ Remote-first global team
• 💰 Competitive compensation (estimated)
• 🚀 High-growth culture with ownership and impact
• 🌍 Global team across 15+ countries

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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