Snowflake Developer

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.

Skill	Required / Desired
Snowflake Data Warehouse Design & Development	Required
Cloud Computing, Preferably AWS (Azure, Google Cloud Platform-)	Required
Data Modeling (Star Schema, Snowflake Schema)	Required
Continuous Integration/Deployment (CI/CD) Tools	Required
Performance Tuning & Optimization	Required
SQL for Data Querying & Manipulation	Required
Data Migration to Cloud Platforms	Required
Data Security & Governance in Cloud Environments	Required
Data Warehousing Best Practices	Required
Automation using Python/SnowSQL	Required
ETL/ELT Processes using Snowflake	Required
Snowflake Stored Procedures, UDFs, and Views	Required
Working with Snowflake Utilities (SnowPipe, Streams, Tasks)	Required
Data Integration (Informatica, Talend, Matillion, DBT - Preferable)	Highly desired
Bachelor's Degree minimum	Required

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