Role: Senior Snowflake Developer
Location : Trenton, NJ 08625 (Hybrid)
Duration: 6+ Months
Interview: Web Cam Interview Only
Job Description
- 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.
Qualifications
- Bachelor’s or master’s degree in computer science, data engineering, or a related field.
- 10+ 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.
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.
From:
Steve,
Anveta
steve@anveta.com
Reply to: steve@anveta.com