Expert Engineer, Database

About The Role:

• Designing and implementing data models that align with business requirements; creating and managing database objects such as tables, views, and schemas within Snowflake.
• Developing and maintaining ETL processes to move data into and out of Snowflake; integrating data from various sources, ensuring data quality, and transforming data to meet business needs.
• Optimizing queries and data warehouse performance for efficiency and scalability; monitoring and troubleshooting performance issues to ensure optimal system responsiveness.
• Implementing and managing security measures to protect data within Snowflake; setting up and maintaining user roles, privileges, and access controls to ensure data security and compliance.
• Integrating Snowflake with other data sources and tools to facilitate seamless data flow and analysis; collaborating with other teams to ensure data integration aligns with overall business goals.
• Automating routine tasks and processes to improve efficiency; orchestrating data workflows and dependencies to ensure timely and accurate data processing.
• Monitoring system health, performance, and resource utilization; conducting regular maintenance tasks such as backups, updates, and patches to keep the system running smoothly.

About You:

• 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.

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