Azure Data Base Engineer

Job Opportunity in St. Paul, MN

Join our dynamic team as we embark on exciting projects in the vibrant city of St. Paul, MN. This role offers the flexibility of working remotely or in a hybrid model at our client's offices, providing a perfect balance for your professional and personal life.

Resource Need

We are seeking one full-time staff augmentation resource. Each vendor is allowed to submit one resource for consideration.

Mode of Interview

Interviews will be conducted via Microsoft Teams.

Project Schedule

• Anticipated Project Start Date: September 21, 2026
• Anticipated End Date: June 21, 2027

Sample Tasks

• 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.

Desired Qualifications

• 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.