🛠 Tech Stack

💼 About This Role

You'll lead the design and development of scalable data pipelines and modern data platforms using AWS, Snowflake, and DBT. Your work directly supports AI-driven initiatives, enhancing LLM and RAG solutions. This role offers the chance to work with cutting-edge AI frameworks like LangChain.

🎯 What You'll Do

• Design and optimize cloud-based data pipelines on AWS
• Develop modern data platforms with Snowflake, DBT, Airflow
• Implement AI-driven solutions using LLM and RAG
• Lead cross-functional teams and ensure technical alignment

📋 Requirements

• 8+ years of experience in Data Engineering
• Strong hands-on experience with Python
• Experience with AWS, Snowflake, DBT, Airflow, and Docker
• Experience with Infrastructure as Code tools like Terraform

✨ Nice to Have

• Experience with AWS Bedrock and AI Knowledge Bases
• Familiarity with Dagster, PostgreSQL, or SQL Server
• Knowledge of CI/CD pipelines and DevOps 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