🛠 Tech Stack

🎯 What You'll Do

• Design and build scalable ETL pipelines and data lake infrastructure.
• Own data ingestion, modeling, and transformation across business units.
• Partner with BI and analytics teams to deliver clean datasets.
• Maintain monitoring, anomaly detection, and data quality 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 with ETL pipelines and data lake architecture.
• Familiarity with Spark and distributed systems.

✨ Nice to Have

• Experience with Looker dashboards.
• Cross-functional collaboration skills supporting BI and analytics.

🎁 Benefits & Perks

• 💰 Competitive base salary with profit-sharing bonus.
• 🏖️ Remote-first culture with global team.
• 📈 Performance-driven career growth.
• 🏥 Comprehensive benefits package.
• 🌟 Diverse and inclusive team.

📨 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