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Knowledge of SQL language and cloud-based technologiesData warehousing concepts, data modeling, metadata managementData lakes, multi-dimensional models, data dictionariesMigration to AWS or Azure Snowflake platformPerformance tuning and setting up resource monitorsSnowflake modeling roles, databases, schemasSQL performance measuring, query tuning, and database tuningETL tools with cloud-driven skillsIntegration with third-party toolsAbility to build analytical solutions and modelsCoding in languages like Python, Java, JavaScriptRoot cause analysis of models with solutionsHadoop, Spark, and other warehousing toolsManaging sets of XML, JSON, and CSV from disparate sourcesSQL-based databases like Oracle SQL Server, Teradata, etc.Snowflake warehousing, architecture, processing, administrationData ingestion into SnowflakeEnterprise-level technical exposure to Snowflake applications