🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a profitable digital media company reaching 30M+ monthly visitors. You'll build and optimize ETL and data lake processes that empower cross-functional teams with reliable, actionable data. This role stands out with remote-first culture and high-growth environment across 15 countries.

🎯 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 QA workflows
• Drive adoption of Looker dashboards by ensuring backend data support

📋 Requirements

• 5+ years of data engineering experience in cloud-native environments
• Deep expertise in Python and SQL
• Experience with Docker and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building scalable ETL pipelines and data lake infrastructure

✨ Nice to Have

• Familiarity with Spark
• Experience with Looker
• Mentoring experience

🎁 Benefits & Perks

• 🏖️ Remote-first culture
• 🕒 Flexible hours (implied remote)
• 📈 High-growth environment
• 🌍 Global team across 15 countries

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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