Snowflake Data Engineer

We are seeking a Senior Snowflake Developer. The ideal candidate will be responsible for designing, developing, testing, deploying, and maintaining enterprise-level applications using the Snowflake platform.
Location: Hybrid

• San Francisco, CA (3 days in office)
  

• USC/GC/GC-EAD/H4-EAD accepted
• W2 only (No visa sponsorship available)
• No 3rd party or C2C candidates
  

• Design and implement features for identity and access management.
• Implement novel query optimization, major security competencies with encryption.
• Solve performance issues and scalability issues in the system.
• Create, test, and implement enterprise-level apps with Snowflake.
• Data warehousing concepts, data modeling, metadata management
  

• 10 years of experience in database development
• 5 years of experience in Snowflake development and administration
• Bachelors degree or 7 yrs hands-on experience
  

• Knowledge of SQL language and cloud-based technologies
• Profound knowledge and hands-on experience in Snowflake Platform Architecture.
• Proficient in SQL for data validation and querying, with experience in Snow SQL scripts.
• Excellent understanding of Snowflake Internals, Stages, and Integrations in Snowflake.
• Extensive experience in T-SQL stored procedures and complex query development.
• Experience in SQL query performance tuning, including proficiency with Query Profiler, Micro-partition pruning, Data spilling and understanding of optimizer and execution plans.
• Experience with productionized data ingestion and processing pipelines using Snow SQL
• Strong understanding of CI/CD workflows, unit testing and integration testing, and deployment patterns.
• Strong ability in documenting design solutions effectively.
• Familiarity with a variety of tools including Jira, ServiceNow, Confluence, GIT, and Flyway.
• Experience in integrating snowflake with other data processing and reporting technologies such as SSRS, Tableau reports is a plus.
• Experience in Azure cloud services including Azure SQL MI and ADF, particularly in database and data management contexts is a plus.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting

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