🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable data. You'll own the ingestion, modeling, and transformation of data to support reporting and analysis. 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
• 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
• Serve as internal point of contact for reporting infrastructure

📋 Requirements

• 5+ years of experience in data engineering within 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
• Mentoring or leading engineering teams
• Cross-functional collaboration skills

🎁 Benefits & Perks

• 🏖️ Remote-first culture
• 💰 Competitive salary (estimated)
• 📈 Growth opportunities in a high-performance team
• 🌍 Global team spanning over 15 countries
• 👥 Diverse and inclusive work environment

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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