Primary Skills
- DataStream ETL Fundamentals SQL SQL (Basic Advanced) Python Data Warehousing Time Travel and Fail Safe Snowpipe SnowSQL Modern Data Platform Fundamentals PLSQL T-SQL Stored Procedures
Job requirements
- Design develop and maintain robust ELT/ETL data pipelines to load structured and semi-structured data into Snowflake. Implement data ingestion workflows using tools like Azure Data Factory Informatica DBT or custom Python/SQL scripts.
- Write and optimize complex SQL queries stored procedures views and UDFs within Snowflake.
- Use Snowpipe for continuous data ingestion and manage tasks streams and file formats for near real-time processing Optimize query performance using techniques like clustering keys result caching materialized views and pruning strategies. Monitor and tune warehouse sizing and usage to balance cost and performance.
- Design and implement data models (star snowflake normalized or denormalized) suitable for analytical workloads.
- Create logical and physical data models for reporting and analytics use cases.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Senior Data EngineerPrimary SkillsDataStream ETL Fundamentals SQL SQL (Basic Advanced) Python Data Warehousing Time Travel and Fail Safe Snowpipe SnowSQL Modern Data Platform Fundamentals PLSQL T-SQL Stored Procedures Job requirementsDesign develop and maintain robust ELT/ETL data pipelines to load...
Primary Skills
- DataStream ETL Fundamentals SQL SQL (Basic Advanced) Python Data Warehousing Time Travel and Fail Safe Snowpipe SnowSQL Modern Data Platform Fundamentals PLSQL T-SQL Stored Procedures
Job requirements
- Design develop and maintain robust ELT/ETL data pipelines to load structured and semi-structured data into Snowflake. Implement data ingestion workflows using tools like Azure Data Factory Informatica DBT or custom Python/SQL scripts.
- Write and optimize complex SQL queries stored procedures views and UDFs within Snowflake.
- Use Snowpipe for continuous data ingestion and manage tasks streams and file formats for near real-time processing Optimize query performance using techniques like clustering keys result caching materialized views and pruning strategies. Monitor and tune warehouse sizing and usage to balance cost and performance.
- Design and implement data models (star snowflake normalized or denormalized) suitable for analytical workloads.
- Create logical and physical data models for reporting and analytics use cases.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
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