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
Qualifications:
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.
SnowPro Advanced certification is a plus.
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
Team-oriented attitude and the proven ability to collaborate at all levels of an organization