In-depth knowledge and hands-on experience with Snowflake architecture, features, and capabilities
Proficiency in creating and managing data objects, such as databases, tables, and views in Snowflake
Strong SQL skills for querying, data manipulation, and performance optimization within the Snowflake environment
Experience in designing, developing, and maintaining ETL processes for data integration using tools like Snowflake\'s native features and Apache Airflow
Knowledge of data modelling principles and experience in designing effective and efficient data models
Proficiency in scripting languages such as Python or Java for automating tasks and implementing custom solutions
Knowledge of data security best practices and experience implementing security measures within Snowflake; understanding of compliance requirements relevant to the organization\'s industry
Experience in automating routine tasks and orchestrating data workflows; familiarity with tools like Apache Airflow or similar workflow orchestration tools
Ability to collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders
Strong problem-solving skills and the ability to troubleshoot complex data issues
Effective communication and teamwork skills and possess the ability to communicate clearly and effectively in oral and written form