Responsibilities

• Snowflake Data Engineer will design, develop, and maintain complex snowflake data warehouses
• Ensure data integrity, quality, and security across all data warehousing activities
• Develop and maintain data pipelines to integrate data from various internal and external sources
• Develop and maintain data pipelines using tools for data transformation, testing, and deployment
• Write Python code to automate data processing, transformation, and loading tasks, including data ingestion, data quality control, and data visualization
• Collaborate with data analysts and business stakeholders to understand data requirements and develop data solutions that meet business needs
• Develop and maintain data visualizations and reports using Snowflake s built-in visualization tools or third-party tools like Tableau
• Ensure data quality, integrity, and security by developing data validation rules, data cleansing processes, and data access controls
• Optimize snowflake data warehouse performance, scalability, and reliability, including monitoring and troubleshooting data issues
• As a Snowflake Data Engineer, you will develop and maintain technical documentation, including data dictionary, data flow diagrams, and code comments
• Participate in code reviews and provide feedback to ensure high-quality code and adherence to coding standards
• Work closely with the agency s data team and the overall state technology team to ensure alignment on data strategy and technology standards

Required Experience/Skills

• 8 years of experience in Snowflake data warehouse development and management, data engineering field.
• Experience with Snowflake features, including cloning, time travel, data sharing, and micro-partitioning 
• Strong experience integrating Snowflake with Tableau, Salesforce, third party APIs, etc. 
• Experience in Python or similar scripting languages for automation and data processing 
• Experience with cloud platforms like AWS, Azure.
• Expertise in Snowflake Role-Based Access Control (RBAC), data masking, and encryption 
• Knowledge of data governance frameworks and tools 
• Proficiency with SQL, including snowflake s SQL dialect and complex query writing for performance optimization 
• Proficiency with data integration tools and ETL/ELT processes 

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