🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts, building and optimizing ETL pipelines and data lake infrastructure to empower cross-functional teams with reliable, actionable data. You'll own the ingestion, modeling, and transformation of data to fuel strategic growth across product, marketing, and operations.

🎯 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

📋 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 junior engineers
• Background in digital media or consumer content

🎁 Benefits & Perks

• 🏖️ Remote-first culture spanning over 15 countries
• 🌍 Global team of high-performers
• 📈 Career acceleration through ownership and impact
• 💡 High-growth, high-performance 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