Snowflake Data Engineer Only On W

Snowflake Data Engineer

Boston, MA

Responsibilities:

• Design, develop, and maintain complex snowflake data warehouses, including data modeling, ETL processes, and data quality control
• 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; Ensure data pipelines are scalable, reliable, and efficient
• 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
• 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
• Communicate complex data findings to non-technical stakeholders in a clear and concise manner
• Provide technical guidance and mentorship to junior analysts and other team members

• SnowPro Advanced certification is a plus
• 8 years of experience in Snowflake data warehouse development and management, data engineering field
• Strong understanding of Snowflake architecture, data modeling, and data warehousing concepts
• Proficiency with SQL, including snowflake s SQL dialect and complex query writing for performance optimization
• Experience with Snowflake features, including cloning, time travel, data sharing, and micro-partitioning
• Strong understanding of Snowflake s architecture, including virtual warehouses, storage, and compute separation
• Expertise in Snowflake Role-Based Access Control (RBAC), data masking, and encryption
• Proficiency with data integration tools and ETL/ELT processes
• Experience in Python or similar scripting languages for automation and data processing
• Knowledge of data security and compliance standards as they relate to Snowflake
• Experience with cloud platforms like AWS, Azure
• Knowledge of data governance frameworks and tools
• Strong experience integrating Snowflake with Tableau, Salesforce, third party APIs, etc.
• Strong analytical, problem-solving, and communication skills
• Ability to work collaboratively in a cross-functional team environment
• Excellent verbal and written communication skills with project teams and business teams