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Domain Architect; Snowflake
Job Description & How to Apply Below
Experience
> 9 years
Snowflake Technical Skills- Expertise in planning, designing, developing and maintaining the data architecture for various Data Integration, Data Warehouse and Data Sharing projects in Snowflake.
- Good experience in migration of data solutions from On-premise and Big Data platforms to Snowflake.
- Design and develop Data Engineering solutions using Snowpark API with Scala, Java, Python.
- Knowledge of Snowflake Data Science features.
- In-depth understanding of Snowflake new features like Unistore, Data Lake, Iceberg tables, etc.
- Expertise in Snowflake data modelling, ELT using Snowflake SQL, implementing complex stored procedures and standard DWH and ETL concepts.
- Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel, and understanding how to use these features.
- Good to have - Data Science/AI Client implementation experience.
- Drive end-to-end discussions with customers.
- Drive and present practice offerings.
- Writing POV, White Papers.
- Presales support.
- Certification in any cloud technology: AWS, Azure, GCP.
- Experience in DBT, Fivetran, Airflow.
Snowflake Advanced Architecture Certification
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