Data Engineer (Azure & Snowflake)

Job Summary

Building modern cloud-based data solutions, the full-time Data Engineer (Azure & Snowflake) will develop scalable data pipelines, integrate data from multiple systems, and deliver reliable datasets while working remotely.

Key responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Data Factory, Snowflake, SQL, and Python
• Build ETL and ELT processes to integrate data from enterprise applications, APIs, and third-party systems
• Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and data quality

Required qualifications

• 3 - 5+ years of experience in data engineering, ETL development, or data integration
• Experience with Snowflake or another modern cloud data warehouse, including data modeling and performance optimization
• Hands-on experience with Azure Data Factory or a similar cloud-based orchestration tool
• Strong SQL skills, including writing complex queries and working with large datasets
• Experience developing data solutions using Python