What are the responsibilities and job description for the Senior Snowflake Developer - 3 days Onsite in Trenton, NJ position at RICEFW Technologies Inc?
Job Details
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.
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/Desired Skills
Questions
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/Desired Skills
| Skill | Required /Desired | Amount | Consultant Experience | Consultant last year used |
|---|---|---|---|---|
| Snowflake Data Warehouse Design & Development | Required | 7 | ||
| Cloud Computing, Preferably AWS (Azure, Google Cloud Platform-) | Required | 7 | ||
| Data Modeling (Star Schema, Snowflake Schema) | Required | 7 | ||
| Continuous Integration/Deployment (CI/CD) Tools | Required | 7 | ||
| Performance Tuning & Optimization | Required | 7 | ||
| SQL for Data Querying & Manipulation | Required | 7 | ||
| Data Migration to Cloud Platforms | Required | 7 | ||
| Data Security & Governance in Cloud Environments | Required | 7 | ||
| Data Warehousing Best Practices | Required | 7 | ||
| Automation using Python/SnowSQL | Required | 7 | ||
| ETL/ELT Processes using Snowflake | Required | 5 | ||
| Snowflake Stored Procedures, UDFs, and Views | Required | 5 | ||
| Working with Snowflake Utilities (SnowPipe, Streams, Tasks) | Required | 5 | ||
| Data Integration (Informatica, Talend, Matillion, DBT - Preferable) | Highly desired | 5 | ||
| Bachelor's Degree minimum | Required | 0 |
| No. | Question | Consultant Answer |
|---|---|---|
| Question1 | Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you accept this requirement? | |
| Question2 | Please list candidate's email address HERE. | |
| Question4 | Is the candidate available for a round one, in-person interview? | |
| Question5 | Where is the candidate currently geographically located? | |
| Question6 | If the candidate resides more than 1 hour from the client site, will the candidate relocate for the position? | |
| Question7 | Please provide link to LinkedIn profile if available. |
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