Snowflake SME

Description

Hands-on Snowflake SME with Teradata to Snowflake and AWS S3 to Snowflake implementation experience

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

Snowflake warehousing, architecture, processing, administration

Data ingestion into Snowflake