Design, implement, and optimize data solutions using the Snowflake cloud data platform. This role plays a pivotal part in architecting data warehouses, data lakes, and ETL processes to enable efficient data storage, processing, and analytics for the DOE.
A Senior Snowflake Developer is a highly skilled professional responsible for designing, implementing, and optimizing data solutions using the Snowflake cloud data platform. This role plays a pivotal part in architecting data warehouses, data lakes, and ETL processes to enable efficient data storage, processing, and analytics for the organization.
Responsibilities
1. Data Architecture
- Collaborate with data architects to design and develop Snowflake data models and schemas.
- Create and maintain a well-structured data warehouse and data lake architecture.
2. Data Integration
Develop ETL (Extract, Transform, Load) processes to ingest data from various sources into Snowflake.Ensure data integration processes are efficient, reliable, and scalable.Design and implement data pipelines using Snowflake features like tasks and streams.3. Performance Optimization
Optimize query performance by creating and maintaining appropriate indexes, materialized views, and clustering keys.Identify and resolve performance bottlenecks in data processing.4. SQL Development
Write complex SQL queries, stored procedures, and user-defined functions (UDFs) to support data analytics and reporting needs.Ensure SQL code follows best practices for readability and performance.5. Security and Access Control
Implement and manage security measures, including role-based access control (RBAC) and data encryption, to protect sensitive data.Audit and monitor data access and user activities.6. Data Quality Assurance
Define and implement data quality checks and validation processes to maintain data accuracy.Establish data quality rules and alerts to proactively identify issues.7. Documentation
Create and maintain technical documentation for data models, ETL processes, and data dictionaries.Document best practices, standards, and guidelines for Snowflake development.8. Version Control and Deployment
Use version control systems (e.g., Git) for managing Snowflake SQL scripts and objects.Coordinate the deployment of changes to Snowflake environments.9. Monitoring and Alerts
Set up monitoring and alerting for Snowflake environments to proactively detect and respond to issues.Troubleshoot and resolve incidents related to data processing and performance.10. Backup and Recovery
Implement backup and recovery strategies to ensure data integrity and availability.Develop and test data recovery procedures.11. Collaboration
Collaborate with data engineers, data scientists, and business analysts to understand data requirements and provide data solutions.Work with cross-functional teams to support data-related projects and initiatives.Qualifications
Bachelor's or master's degree in computer science, data engineering, or a related field.7 years of experience as a Snowflake developer or data engineer with a focus on data warehousing and ETL.Snowflake certification(s) is a plus.Strong SQL skills and proficiency in data modeling and database design.Knowledge of cloud data warehousing concepts and best practices.Familiarity with data integration tools and technologies.Solid understanding of data governance, data security, and compliance requirements.Experience with version control systems and deployment processes.Excellent problem-solving and troubleshooting skills.Strong communication and collaboration abilities.Ability to work in an Agile or iterative development environment.Required Skills : Snowflake,AWS Cloud Formation
Basic Qualification :
Additional Skills :
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No
