🛠 Tech Stack

💼 About This Role

You'll lead scalable ETL and data lake efforts that empower cross-functional teams with reliable data. Your work will directly impact user acquisition and revenue growth by delivering clean datasets. You'll also contribute to shaping a high-performance engineering culture through mentoring.

🎯 What You'll Do

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

📋 Requirements

• 5+ years of data engineering experience 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 peers and shaping engineering culture

🎁 Benefits & Perks

• 💰 Profit-sharing bonus
• 🏥 Competitive benefits package
• 🌍 Remote-first team
• 🚀 Performance-driven career growth

📨 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