🛠 Tech Stack

💼 About This Role

You'll lead scalable data engineering efforts for a profitable digital media company, building and optimizing ETL pipelines and data lake infrastructure. Your work will power data-driven decisions across product, marketing, and operations. This role offers the chance to mentor peers and shape a high-performance engineering culture.

🎯 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 datasets
• Maintain database monitoring, anomaly detection, and QA 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

📨 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
4. 4Offer· 30 min