🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a digital media company reaching 30M+ monthly visitors. Your core impact is building reliable ETL pipelines and data lake infrastructure that power analytics, user acquisition, and revenue growth. You'll own ingestion, modeling, and transformation of data across all business units, partnering closely with BI and Analytics to deliver clean, query-ready datasets and drive robust dashboard support.

🎯 What You'll Do

• Build and optimize ETL pipelines and data lake processes
• Ingest, model, and transform structured and unstructured data
• Partner with BI and Analytics to deliver query-ready datasets
• Maintain database monitoring, anomaly detection, and quality assurance
• Contribute to mentoring peers and shaping engineering culture

📋 Requirements

• 5+ years of data engineering 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 skills supporting BI, analytics, and engineering
• Mentoring or team leadership experience

🎁 Benefits & Perks

• 🏖️ Remote-first team spanning over 15 countries
• 💰 Competitive compensation (estimated)
• 📈 High-growth culture with ownership and impact

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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

🚩 Heads Up

• No explicit salary range in listing