🛠 Tech Stack

💼 About This Role

You'll lead data engineering efforts for a fast-growing digital media company, building scalable ETL pipelines and data lake infrastructure. You'll empower cross-functional teams with reliable data to drive strategic growth. Join a remote-first, high-performance team.

🎯 What You'll Do

• Build and optimize scalable ETL and data lake processes
• Ingest, model, and transform 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

• Strong cross-functional collaboration skills
• Experience with Looker dashboards
• Mentoring experience

🎁 Benefits & Perks

• 🏠 Remote-first team spanning over 15 countries
• 🚀 High-growth culture with ownership and impact
• 💡 Accelerate your career by owning outcomes
• 🌍 Global team of high-performers
• 📈 Performance-driven environment

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Final Interview· 60 min