Role: Snowflake Engineer
Locations: Bellevue WA
Duration: 612 months
Interview: Video
Job Description:
We are looking for a talented and experienced Snowflake Engineer to join our team. This role focuses on maintaining our Snowflake data warehouse designing new data structures and building scalable solutions to support our growing data needs. The ideal candidate will have a strong background in data architecture warehouse design and Snowflake development.
Key Responsibilities:
- Snowflake Data Warehouse Maintenance:
- Oversee the operation and maintenance of the Snowflake data warehouse.
- Monitor performance optimize queries and ensure efficient storage utilization.
- Troubleshoot and resolve any datarelated issues in the Snowflake environment.
- Table Development and Data Modeling:
- Design create and maintain new tables to meet evolving business needs.
- Develop and enforce standards for data modeling and table structures.
- Ensure data consistency integrity and quality across all tables.
- Architecture and Design:
- Lead the design and implementation of new data architectures and solutions.
- Collaborate with stakeholders to understand data requirements and translate them into technical designs.
- Evaluate and implement best practices for Snowflake architecture including partitioning clustering and indexing.
- Collaboration and Team Support:
- Work closely with other engineers analysts and stakeholders to deliver data solutions.
- Provide technical guidance and mentorship on Snowflake best practices.
- Contribute to strategic decisions on data infrastructure and tooling.
Required Skills and Qualifications:
- Strong experience with Snowflake development and administration.
- Proficiency in SQL data modeling and ETL processes.
- Demonstrated ability to design and implement scalable data architectures.
- Familiarity with data warehouse best practices and optimization techniques.
- Strong problemsolving and analytical skills.
- Effective communication and collaboration skills.
Preferred Qualifications:
- Experience with cloud platforms such as AWS Azure or Google Cloud.
- Knowledge of data governance security and compliance standards.
- Familiarity with tools like dbt Python or other scripting languages.
- Experience working with diverse data sources and integrating them into Snowflake.