🛠 Tech Stack

💼 About This Role

You'll lead data engineering efforts that empower cross-functional teams with reliable, timely data for strategic growth. You'll own ETL and data lake processes to support analytics across all business units.

🎯 What You'll Do

• Build and optimize scalable, efficient 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 experience in 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 and Spark

✨ Nice to Have

• Experience with Looker dashboards
• Mentoring or team leadership experience
• Knowledge of data quality best practices

🎁 Benefits & Perks

• 🌍 Remote-first team spanning over 15 countries
• 📈 High-growth culture with ownership and impact
• 👥 Diverse, inclusive team and culture
• 📊 Career acceleration opportunities

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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