Description

Role Description:

Knowledge of SQL language and cloud-based technologiesData warehousing concepts, data modeling, metadata managementData lakes, multi-dimensional models, data dictionaries
Migration to AWS or Azure Snowflake platformPerformance tuning and setting up resource monitors
Snowflake modeling – roles, databases, schemasSQL performance measuring, query tuning, and database tuningETL 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.Snowflake warehousing, architecture, processing, administration Data ingestion into Snowflake Enterprise-level technical exposure to Snowflake applications Soft 
Project management Problem-solving Innovation and best coding practices Interpersonal, presentation, and communication skills Critical and out-of-the-box thinking Analytical, quantitative, problem-solving, and organizational skills Testing and test case preparation abilities

Competencies: Snowflake, ORACLE SQL

Education

Any Graduate