🛠 Tech Stack

💼 About This Role

You'll lead the design and optimization of scalable data engineering solutions and cloud-based data pipelines for a global IT services company. You'll drive AI initiatives implementing LLM, RAG, and intelligent data solutions.

🎯 What You'll Do

• Lead design and optimization of scalable data engineering solutions.
• Develop and maintain modern data platforms using AWS, Snowflake, DBT, Airflow.
• Implement AI initiatives with LLM, RAG, and intelligent data solutions.
• Collaborate with cross-functional teams to drive project delivery.

📋 Requirements

• 8+ years experience in data engineering or related roles.
• Strong hands-on experience with Python and modern data engineering practices.
• Experience with AWS and data technologies including Snowflake, DBT, Airflow, Docker.
• Hands-on experience with AI/LLM concepts including RAG implementations.

✨ Nice to Have

• Experience with AWS Bedrock and AI Knowledge Bases.
• Familiarity with CI/CD pipelines and DevOps best practices.
• Experience mentoring technical teams or leading engineering initiatives.

📨 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