- 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
Education: Bachelors degree or equivalent studies
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