Senior Data Engineer

Master’s degree in Computer Science, Information Systems, Information Technology, Engineering (any), Business, or a related field of study AND Three (3) years of experience in the job offered or related occupation in which the required experience was gained
In lieu of a Master’s degree, a Bachelor’s degree in Computer Science, Information Systems, Information Technology, Engineering (any), Business, or a related field of study AND Five (5) years of experience in the job offered or related occupation in which the required experience was gained
Demonstrated experience with Cloud Platform Engineering in an enterprise-level environment
Python, SQL, GitHub, Azure DevOps, Bicep/ARM/Terraform, and PowerShell
Understanding Infrastructure-as-Code and configuration management automation tools
Using DevOps with a clear understanding of related tools, structure, and processes within an Agile/Scrum setting
Building enterprise-level solutions with Microsoft Azure or equivalent cloud technologies
Well versed in SRE practices, testing frameworks, and building CI/CD pipelines
Leading the end-to-end design and development of scalable services to be consumed by the enterprise (monitoring and production support services)

Design and implement intelligent, predictable, reliable, scalable, cost-efficient, and easy-to-use platforms and frameworks for Data Science Machine Learning (DSML), Enterprise Data Lake/Warehouse (EDL/EDW), Master Data Management (MDM) functions
Design and implement Azure cloud infrastructure, including but not limited to storage, data factories, key vaults, virtual networking, virtual machines, and automated deployments
Evaluate and automate the scaling and capacity requirements within Azure environment
Implement, setup, configure, monitor, and maintain cloud-based Data & Analytics platforms such as Databricks and Snowflake
Troubleshoot and resolve environment performance issues, connectivity issues, security issues
Make recommendations and execute cost saving strategies for Cloud services
Streamline development and operation processes via continuous integration, deployment, automated testing while leveraging SRE principles
Self-directed and able to balance the priorities of multiple teams, systems, and products with a leadership mindset
Work collaboratively in teams and develop meaningful relationships to achieve common goals
Drive efficient resolution for system outages as well as performance and functional shortcomings

No preferred qualifications provided.