🛠 Tech Stack

💼 About This Role

You'll lead the design and optimization of scalable data engineering solutions and cloud-based data pipelines on AWS. You'll also contribute to AI-driven initiatives using LLMs and RAG frameworks.

🎯 What You'll Do

• Design and optimize scalable data pipelines
• Collaborate with cross-functional teams for project delivery
• Maintain data platforms on AWS, Snowflake, DBT, Airflow
• Implement AI/LLM solutions using LangChain and RAG

📋 Requirements

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

✨ Nice to Have

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

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Leadership Interview· 45 min