🛠 Tech Stack

💼 About This Role

You'll lead data engineering efforts for the User Platform and Recommendation Engine, ensuring data accuracy and security across Snowflake, Postgres, Kafka, and API Gateway services. You'll collaborate with ML engineers and business stakeholders to build reliable, high-performance data pipelines supporting insights and machine learning.

🎯 What You'll Do

• Design and maintain data pipelines for User Platform and Recommendation Engine
• Ensure data accuracy, performance, and security across Snowflake, Postgres, and Kafka
• Implement and enforce data governance best practices
• Collaborate with ML engineers, backend teams, and business stakeholders

📋 Requirements

• 3-8 years of experience in Data Engineering
• SQL and Python skills for building ETL/ELT at scale
• Understanding of Snowflake performance tuning and query optimization
• Experience with data modeling (Kimball, Data Vault, or hybrid)

✨ Nice to Have

• Familiarity with API-based data integration and microservice architectures
• Excellent cross-functional communication skills