🛠 Tech Stack

💼 About This Role

You'll design scalable data lake and lakehouse architectures ensuring robust governance and performance. You'll solve complex data challenges across cloud platforms like AWS, Azure, or GCP. This role offers deep technical ownership in a collaborative environment.

🎯 What You'll Do

• Design end-to-end data pipeline architectures (Lambda, Kappa, ETL, streaming).
• Define and implement modern data lake/lakehouse architectures.
• Oversee cloud infrastructure decisions across AWS, Azure, or GCP.
• Identify and resolve performance bottlenecks in distributed processing frameworks.

📋 Requirements

• Solid experience in data engineering with focus on architecture design.
• Deep knowledge of data lake/lakehouse ecosystems like Delta Lake, Apache Iceberg, or Apache Hudi.
• Hands-on experience with cloud infrastructure on AWS, Azure, or GCP.
• Proficiency in infrastructure as code using Terraform or CloudFormation.

✨ Nice to Have

• Experience with Data Mesh.
• Cloud security certifications.

🎁 Benefits & Perks

• 🏥 Comprehensive health, dental, and life insurance
• 🍽️ Meal or food allowance
• 🏡 Remote work support and home office setup assistance
• 📚 Learning platform with courses and training resources
• 🏋️ Gym membership support (Gympass)

📨 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