🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts and empower cross-functional teams with reliable data. You'll build and optimize ETL pipelines and data lake infrastructure to drive strategic growth.

🎯 What You'll Do

• Build and optimize ETL pipelines and data lake processes
• Ingest, model, and transform structured and unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

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

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring or shaping engineering culture

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏖️ Competitive benefits package
• 📈 Performance-driven increases
• 🌍 Remote-first team
• 👥 Global high-performance culture

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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