Desirable Skills:
Microsoft Azure
Databricks
Role Description:
Solid understanding of Azure infrastructure (subscriptions resource groups resources access control with RBAC Azure AD integrations network concepts password credential key management and data protection).
Strong hands-on knowledge of Azure Databricks Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Synapse Serverless Dedicated Spark pools Python PySpark and T-SQL.
Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
High proficiency in Git Jenkins and DevOps processes to maintain and resolve issues with data pipelines in production.
Knowledge of implementing Azure technologies and networking via Terraform and the ability to fix issues with Azure infrastructure in production.
Good understanding of data modeling Data mart Data Lakehouse architecture Slowly Changing Dimensions (SCD) data mesh and delta lake.
Solid understanding of data privacy and compliance regulations and best practices for preserving customer data.
Experience Required: 6-8 years
Required Skills:
Desirable Skills: Microsoft Azure Databricks Role Description: Solid understanding of Azure infrastructure (subscriptions resource groups resources access control with RBAC Azure AD integrations network concepts password credential key management and data protection). Strong hands-on knowledge of Azure Databricks Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Synapse Serverless Dedicated Spark pools Python PySpark and T-SQL. Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks. High proficiency in Git Jenkins and DevOps processes to maintain and resolve issues with data pipelines in production. Knowledge of implementing Azure technologies and networking via Terraform and the ability to fix issues with Azure infrastructure in production. Good understanding of data modeling Data mart Data Lakehouse architecture SCD data mesh and delta lake. Solid understanding of data privacy and compliance regulations and best practices for preserving customer data. Experience Required: 6-8 years
Desirable Skills: Microsoft Azure DatabricksRole Description: Solid understanding of Azure infrastructure (subscriptions resource groups resources access control with RBAC Azure AD integrations network concepts password credential key management and data protection). ...
Desirable Skills:
Microsoft Azure
Databricks
Role Description:
Solid understanding of Azure infrastructure (subscriptions resource groups resources access control with RBAC Azure AD integrations network concepts password credential key management and data protection).
Strong hands-on knowledge of Azure Databricks Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Synapse Serverless Dedicated Spark pools Python PySpark and T-SQL.
Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
High proficiency in Git Jenkins and DevOps processes to maintain and resolve issues with data pipelines in production.
Knowledge of implementing Azure technologies and networking via Terraform and the ability to fix issues with Azure infrastructure in production.
Good understanding of data modeling Data mart Data Lakehouse architecture Slowly Changing Dimensions (SCD) data mesh and delta lake.
Solid understanding of data privacy and compliance regulations and best practices for preserving customer data.
Experience Required: 6-8 years
Required Skills:
Desirable Skills: Microsoft Azure Databricks Role Description: Solid understanding of Azure infrastructure (subscriptions resource groups resources access control with RBAC Azure AD integrations network concepts password credential key management and data protection). Strong hands-on knowledge of Azure Databricks Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Synapse Serverless Dedicated Spark pools Python PySpark and T-SQL. Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks. High proficiency in Git Jenkins and DevOps processes to maintain and resolve issues with data pipelines in production. Knowledge of implementing Azure technologies and networking via Terraform and the ability to fix issues with Azure infrastructure in production. Good understanding of data modeling Data mart Data Lakehouse architecture SCD data mesh and delta lake. Solid understanding of data privacy and compliance regulations and best practices for preserving customer data. Experience Required: 6-8 years
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