🛠 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 firm. Your core impact will be developing modern data platforms using AWS and Snowflake while contributing to AI-driven initiatives with LLM and RAG implementations. This role offers the opportunity to work with cutting-edge AI frameworks like LangChain in a remote setup.

🎯 What You'll Do

• Design and optimize scalable data engineering solutions and cloud-based data pipelines.
• Develop and maintain modern data platforms using AWS, Snowflake, DBT, Airflow, and Python.
• Implement and enhance AI-driven workflows with LLM, RAG, and vector databases.

📋 Requirements

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

✨ Nice to Have

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

🎁 Benefits & Perks

• 🏖️ Remote Work - fully remote position.
• 💼 Professional Growth - work with cutting-edge AI/ML technologies.
• 🌍 Global Team - collaborate with cross-functional teams worldwide.

📨 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