Senior Snowflake Developer (LOCAL CANDIDATES ONLY AS F2F INTERVIEW IS MUST)

Job Description

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.

Note: This is a Hybrid position - 3 Days On-Site, 2 Days Remote.
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.