Cloud Data Engineer + QA

As a Cloud Data Engineer with QA, you will be an integral part of a Cloud Data Modernization initiative aimed at migrating an on-premises Enterprise Data Warehouse (SQL Server) to a modern cloud-based data platform using Azure and Snowflake. Your role will require a blend of data engineering, cloud platform expertise, and data quality assurance. **Key Responsibilities:** - Design, develop, and implement scalable data platform solutions using Azure and Snowflake - Migrate and modernize on-premises ETL pipelines (SSIS, T-SQL) to cloud-native solutions - Build and optimize data pipelines using Azure Data Factory (ADF), Self-hosted Integration Runtime (SHIR), Logic Apps, and Azure Data Lake Storage Gen2 (ADLS Gen2) - Implement DevOps practices and CI/CD workflows using GitHub Actions - Collaborate with cross-functional teams to ensure seamless data integration and delivery - Conduct thorough data validation and QA testing to ensure consistency and accuracy - Troubleshoot and optimize data workflows for performance and reliability - Ensure compliance with data security and industry standards **Qualifications Required:** - 3+ years of experience as a Cloud Data Engineer - Strong hands-on experience with Azure Cloud data tools such as ADF, SHIR, Logic Apps, ADLS Gen2, and Blob Storage - Expertise in Snowflake for cloud data warehousing - Proficient in ETL development using SQL Server, SSIS, and T-SQL - Solid scripting skills in Python for data processing and validation - Experience implementing CI/CD pipelines using GitHub Actions - Familiarity with Agile methodologies - Proven experience in data validation, unit testing, and QA for data migration projects - Strong analytical mindset and attention to detail - Excellent communication and collaboration skills - Ability to work independently and adapt to new technologies quickly If there are any additional details about the company in the job description, please provide them separately for inclusion.,