🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data for a fast-paced digital media company. You'll own the ingestion, modeling, and transformation of data to fuel strategic growth across business units.

🎯 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 query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance 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 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 shaping engineering culture
• Cross-functional collaboration supporting BI and analytics teams

🎁 Benefits & Perks

• 🚀 High-growth culture with remote-first team
• 🌍 Global team spanning over 15 countries
• 📈 Performance-driven opportunities for career acceleration

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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

🚩 Heads Up

• Requirements mention 5+ years but title is Lead (could imply higher expectations)