🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts building ETL pipelines and data lake infrastructure on AWS to empower cross-functional teams with reliable, actionable data. Your work directly fuels strategic growth across product, marketing, and operations.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Own ingestion, modeling, and transformation of structured and unstructured data
• Partner with BI and Analytics to deliver clean, query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance workflows

📋 Requirements

• 5+ years of data engineering experience in fast-paced, 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
• Experience with Looker dashboards and BI support

🎁 Benefits & Perks

• 💰 Competitive base salary with profit-sharing bonus
• 🏖️ Remote-first culture with global team
• 📈 Performance-driven career growth opportunities

📨 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