🛠 Tech Stack

💼 About This Role

You'll design and implement a Snowflake-centric data architecture for a Gen Digital enterprise with a planetscale mandate. You'll leverage AI tools like Claude Code and Snowflake Cortex to build scalable, cost-effective data infrastructure. This role offers the chance to shape an AI-native analytics lifecycle across a global organization.

🎯 What You'll Do

• Design Snowflake-centric data architectures for enterprise scale
• Build complex data pipelines and models for analytical consumption
• Write scalable SQL queries over billions of rows of data
• Optimize data governance, lineage, and compliance processes

📋 Requirements

• 1-4 years of data engineering experience in large-scale environments
• Expert-level SQL optimization for multi-petabyte datasets
• Experience with Snowflake architecture and cost management at enterprise scale
• Advanced Python programming for data automation

✨ Nice to Have

• Experience with Apache Kafka and real-time data processing
• Experience with Apache Iceberg and data lakehouse architectures
• Familiarity with AWS cloud infrastructure

🎁 Benefits & Perks

• 🖥️ Remote-friendly culture with cutting-edge AI tools
• 🧑‍🏫 Coaching and mentorship opportunities for junior engineers
• 🌍 Global impact as part of Gen Digital enterprise
• 🚀 Latest AI tools like Claude Code and Snowflake Cortex

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Online Preliminary Codility test· 1 hour
2. 2Recruiter Screening Call· 30 min
3. 3Take-home Assessment· 2-3 hours
4. 4Take Home Discussion (Virtual)· 1 hour
5. 5Interview - Hiring Manager· 1.5 hours

🚩 Heads Up

• Requires senior-level expertise (Snowflake optimization, dimensional modeling) but asks for only 1-4 years experience