Mandatory Snowflake Expertise: Proven experience implementing and managing data solutions within the Snowflake ecosystem.
Data Pipelines: Experience building data pipelines.
Data Analysis: Strong understanding of data analysis techniques for validation requirements.
Advanced SQL: Complex querying, data manipulation, and performance tuning across Snowflake and SQL Server environments.
Data Engineering Fundamentals: Solid understanding of data engineering principles, data modeling, ETL/ELT methodologies, and data pipeline orchestration.
Snowflake Features: Familiarity with Copy, Stored Procedures, and Views.
Python: Basic proficiency for data processing, scripting, and automation.
DevOps: Experience deploying applications using Bit/Git version control, CGW server, Kafka, MySQL, AWS, and cloud hosting platforms.
Soft Skills: A positive attitude and eagerness to learn emerging technologies.
Good to Have: Experience with Snowflake Cortex workloads is a significant advantage.
Numbers & Facts
Location
San Jose, CA
Skills
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Database Extract Transform and Load (ETL)unmatched
Ecosystemsunmatched
Microsoft SQL Serverunmatched
Performance Tuning/Optimizationunmatched
Python Programming/Scripting Languageunmatched
Requirements Validation/Verificationunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Snowflake Schemaunmatched
Stored Proceduresunmatched
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