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Data Engineer (Azure & Snowflake)

About this role

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

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