Technical Skills:
Knowledge of SQL language and cloud-based technologies
Data warehousing concepts, data modeling, metadata managementData lakes, multi-dimensional models, data dictionaries
Migration to AWS Snowflake platform
Performance tuning and setting up resource monitorsSnowflake modeling - roles, databases, schemas
SQL performance measuring, query tuning, and database tuning
ETL tools with cloud-driven skillsIntegration with third-party tools
Ability to build analytical solutions and models
Coding in languages like Python, Java, JavaScriptRoot cause analysis of models with solutionsHadoop, Spark, and other warehousing tools
Managing sets of XML, JSON, and CSV from disparate sourcesSQL-based databases like Oracle SQL Server, Teradata, etc.
Snowflake warehousing, architecture, processing, administrationData ingestion into Snowflake
Enterprise-level technical exposure to Snowflake applications.Soft Skills:Project management
Problem-solvingInnovation and best coding practicesInterpersonal, presentation, and communication skills
Critical and out-of-the-box thinkingAnalytical, quantitative, problem-solving, and organizational skills
Testing and test case preparation abilities