Snowflake Data Architect 8+ Yrs Experience

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Sample Snowflake resume

Carrière

 Must have total 8+ yrs. in Data warehouse, ETL, BI projects and 3+ years' experience
working as a Snowflake Data Architect
 Must have experience with end-to-end implementation of the Snowflake Data Cloud
 Expertise in Snowflake – data modeling, ELT using Snowflake, implementing complex
stored Procedures and standard DWH and ELT 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 understand how to use these features
 Expertise in deploying Snowflake features such as data sharing, events, and lake-
house patterns
 Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Streams/Tasks Big
Data model techniques using Python
 Experience in Data Migration from RDBMS to Snowflake cloud data warehouse
 Deep understanding of relational as well as NoSQL data stores, methods, and
approaches (star and snowflake, dimensional modeling)

Recommandé

Data Warehouse Concepts and ArchitectureMohd Tousif

Azure Synapse Analytics Overview (r2)James Serra

Batch Processing vs Stream Processing Differencejeetendra mandal

Date warehousing conceptspcherukumalla

CLOUD COMPUTING AND STORAGEShalini Toluchuri

Time series Analytics - a deep dive into ADX Azure Data Explorer @Data Saturd...Riccardo Zamana

Data warehouseSonali Chawla

5 Critical Steps to Clean Your Data Swamp When Migrating Off of HadoopDatabricks

Recommandé

Data Warehouse Concepts and ArchitectureMohd Tousif

Azure Synapse Analytics Overview (r2)James Serra

Batch Processing vs Stream Processing Differencejeetendra mandal

Date warehousing conceptspcherukumalla

CLOUD COMPUTING AND STORAGEShalini Toluchuri

Time series Analytics - a deep dive into ADX Azure Data Explorer @Data Saturd...Riccardo Zamana

Data warehouseSonali Chawla

5 Critical Steps to Clean Your Data Swamp When Migrating Off of HadoopDatabricks

Snowflake + Power BI: Cloud Analytics for EveryoneAngel Abundez

Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...Amazon Web Services

Data Mesh for DinnerKent Graziano

Building Modern Data Platform with Microsoft AzureDmitry Anoshin

Data Migration to AzureSanjay B. Bhakta

ETL in the Cloud With Microsoft AzureMark Kromer

Building an Effective Data Warehouse ArchitectureJames Serra

Snowflake Best Practices for Elastic Data WarehousingAmazon Web Services

Introduction SQL Analytics on Lakehouse ArchitectureDatabricks

Azure Data Engineering.pptxpriyadharshini626440

Azure Fundamentals Part 1CCG

An overview of snowflakeSivakumar Ramar

Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra

Services comparison among Microsoft Azure AWS and Google Cloud Platformindu Yadav

Azure storageRaju Kumar

Data Profiling, Data Catalogs and Metadata HarmonisationAlan McSweeney

Demystifying Data Warehousing as a Service - DFWKent Graziano

Lakehouse in AzureSergio Zenatti Filho

The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...Databricks

Cloud Computing SecurityNinh Nguyen

Rajeev kumar apache_spark & scala developerRajeev Kumar

Jyothi_Ganta_Oracle_BI_DeveloperJyothi srirama

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Tendances

Snowflake + Power BI: Cloud Analytics for EveryoneAngel Abundez

Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...Amazon Web Services

Data Mesh for DinnerKent Graziano

Building Modern Data Platform with Microsoft AzureDmitry Anoshin

Data Migration to AzureSanjay B. Bhakta

ETL in the Cloud With Microsoft AzureMark Kromer

Building an Effective Data Warehouse ArchitectureJames Serra

Snowflake Best Practices for Elastic Data WarehousingAmazon Web Services

Introduction SQL Analytics on Lakehouse ArchitectureDatabricks

Azure Data Engineering.pptxpriyadharshini626440

Azure Fundamentals Part 1CCG

An overview of snowflakeSivakumar Ramar

Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra

Services comparison among Microsoft Azure AWS and Google Cloud Platformindu Yadav

Azure storageRaju Kumar

Data Profiling, Data Catalogs and Metadata HarmonisationAlan McSweeney

Demystifying Data Warehousing as a Service - DFWKent Graziano

Lakehouse in AzureSergio Zenatti Filho

The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...Databricks

Cloud Computing SecurityNinh Nguyen

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Snowflake + Power BI: Cloud Analytics for Everyone

Snowflake: Your Data. No Limits (Session sponsored by Snowflake) - AWS Summit...

Data Mesh for Dinner

Building Modern Data Platform with Microsoft Azure

Data Migration to Azure

ETL in the Cloud With Microsoft Azure

Building an Effective Data Warehouse Architecture

Snowflake Best Practices for Elastic Data Warehousing

Introduction SQL Analytics on Lakehouse Architecture

Azure Data Engineering.pptx

Azure Fundamentals Part 1

An overview of snowflake

Data Lakehouse, Data Mesh, and Data Fabric (r1)

Services comparison among Microsoft Azure AWS and Google Cloud Platform

Azure storage

Data Profiling, Data Catalogs and Metadata Harmonisation

Demystifying Data Warehousing as a Service - DFW

Lakehouse in Azure

The Modern Data Team for the Modern Data Stack: dbt and the Role of the Analy...

Cloud Computing Security

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Snowflake Data Architect 8+ Yrs Experience

1.  Must have total 8+ yrs. in Data warehouse, ETL, BI projects and 3+ years' experience working as a Snowflake Data Architect  Must have experience with end-to-end implementation of the Snowflake Data Cloud  Expertise in Snowflake – data modeling, ELT using Snowflake, implementing complex stored Procedures and standard DWH and ELT 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 understand how to use these features  Expertise in deploying Snowflake features such as data sharing, events, and lakehouse patterns  Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, Streams/Tasks Big Data model techniques using Python  Experience in Data Migration from RDBMS to Snowflake cloud data warehouse  Deep understanding of relational as well as NoSQL data stores, methods, and approaches (star and snowflake, dimensional modeling)