Knowledge of SQL language and cloud-based technologies
Data warehousing concepts, data modeling, metadata management Data lakes, multi-dimensional models, data dictionaries
Migration to AWS or Azure Snowflake platform
Performance tuning and setting up resource monitors
Snowflake modeling – roles, databases, schemas
SQL performance measuring, query tuning, and database tuning ETL tools with cloud-driven skills Integration with third-party tools Ability to build analytical solutions and models
Coding in languages like Python, Java, JavaScript
Root cause analysis of models with solutions Hadoop, Spark, and other warehousing tools Managing sets of XML, JSON, and CSV from disparate sources SQL-based databases like Oracle SQL Server, Teradata, etc.