Snowflake Developer with Azure Data Factory

As a Snowflake Developer with Azure Data Factory, you will be responsible for utilizing your 6 to 8 years of relevant experience to contribute effectively to the team. Your primary focus will be on utilizing your 4+ years of experience in Snowflake, along with 4-6 years of hands-on experience with SQL Server and SSIS for ETL processes. Additionally, you will leverage your 2-4 years of experience in Microsoft Azure, Azure SQL Databases, and Azure Data Factory for data integration tasks. Your proficiency in connecting to various Azure storage systems and knowledge of Azure DevOps for CI/CD integration will be crucial in this role. Experience with Agile methodology will also be beneficial. **Key Responsibilities:** - Develop and maintain ETL processes using Snowflake, SQL Server, and SSIS. - Utilize Azure Data Factory for ETL/ELT processes and connecting to various data sources/destinations. - Create and manage data pipelines and data flows in Azure Data Factory. - Work with Azure services such as Azure Data Lake Gen2 Storage, Logic Apps, and SQL Server Analysis Services. - Create datasets in Power BI and write DAX queries for data analysis. - Collaborate with the team for CI/CD integration using Azure DevOps. - Utilize T-SQL for writing stored procedures, views, and other database logic. - Stay updated on industry best practices and technologies related to data integration. **Qualifications Required:** - 6 to 8 years of relevant experience in data integration and development. - Strong experience in Snowflake, SQL Server, SSIS, Azure Data Factory, and Azure services. - Proficiency in T-SQL, DAX, and Azure DevOps. - Knowledge of data modeling and ETL best practices. - Familiarity with Agile methodology and CI/CD processes. - Good communication skills and ability to work effectively in a team environment. Please note that the hiring process for this role will involve screening by HR, followed by two technical rounds before the final HR round.,