Azure Data Engineer

Develop and implement relational and non-relational databases in Azure. Develop and implement data transformations. Ensure data access patterns are optimized. Maintain necessary documentation. Coordinate with necessary teams to meet security standards. Implement disaster recovery solution. Provide knowledge transfer., Develop and implement relational and non-relational databases in Azure. Develop and implement data transformations. Ensure data access patterns are optimized. Maintain necessary documentation. Coordinate with necessary teams to meet security standards. Implement disaster recovery solution.

Experience with designing, developing, and implementing data lakes and relational and non relational databases in Azure. Experience with Databricks. Experience with Oracle databases. Strong experience developing and implementing data transformation solutions and cloud infrastructure integration. Strong experience coding and testing programs and scripts to load data using Azure data load utilities. Strong experience with CI/CD pipelines. Experience with cloud computing concepts. Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, and Azure CLI/PowerShell for infrastructure management. Experience in mentoring others in the needed technologies. Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication. Experience with role-based access control, encryption, and network security. Strong organizational and time management skills. Desired 7 years’ experience designing, developing, and implementing data lakes and relational and non-relational databases in Azure. Knowledge of data concepts, data modeling, schema design, and indexing strategies. Knowledge of Azure SQL instances, managed instances, and elastic pools. Knowledge of Data Warehouse Administration and Teradata Data Warehouse. MNSITE 2.0 Request for a Staff Augmentation Event The following document contains the samples tasks and qualifications for this MNSITE 2.0 Event., Experience with designing, developing, and implementing data lakes and relational and non relational databases in Azure. Experience with Databricks. Experience with Oracle databases. Strong experience developing and implementing data transformation solutions and cloud infrastructure integration. Strong experience coding and testing programs and scripts to load data using Azure data load utilities. Strong experience with CI/CD pipelines. Experience with cloud computing concepts. Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, and Azure CLI/PowerShell for infrastructure management. Experience in mentoring others in the needed technologies. Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication. Experience with role-based access control, encryption, and network security. Strong organizational and time management skills. Desired 7 years’ experience designing, developing, and implementing data lakes and relational and non-relational databases in Azure. Knowledge of data concepts, data modeling, schema design, and indexing strategies. Knowledge of Azure SQL instances, managed instances, and elastic pools. Knowledge of Data Warehouse Administration and Teradata Data Warehouse., Must have strong Azure and Databricks experience. Remote Need to validate projects worked on, technologies used, and why/how they used the technologies. Mid Level Data Enginee…

• 1 month ago, Requirements 7 or more years of experience in designing and developing Azure databases and enterprise data lakes. Proficiency in Databricks and executing complex data transform…
• 13 hours ago