🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts that empower cross-functional teams with reliable, actionable data. You'll build and optimize ETL and data lake processes to support analytics across all business units. This role offers remote-friendly work with a high-performance global team.

🎯 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 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
• Cross-functional collaboration with BI and analytics teams
• Mentoring junior engineers

🎁 Benefits & Perks

• 🏖️ Remote-first work environment
• 💰 Competitive compensation
• 📈 Career growth opportunities in a high-growth company
• 🌍 Global team spanning 15+ countries

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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