To support a growing data management practice, the remote Azure Data Engineer will design, develop, and maintain scalable data engineering solutions on Azure and Snowflake platforms while building and optimizing ETL/ELT pipelines and collaborating with business stakeholders. Key responsibilities Design and maintain scalable data engineering solutions on Azure and Snowflake platforms Build and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake Implement data quality frameworks and monitoring processes to ensure accurate and trusted data Required qualifications 6+ years of experience in designing and developing enterprise-scale data platforms using Microsoft Azure and Snowflake Proven expertise in building scalable data pipelines and data warehouses leveraging Azure Data Factory, Databricks, and Snowflake Strong background in data modeling, ETL/ELT development, and cloud migration Experience with Python, SQL, and Spark for data transformation and orchestration Familiarity with CI/CD practices using Azure DevOps and Git
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