Description

You will design and build infrastructure as code (IaC) and integration points for a new data mesh driven solution. You will deliver against defined backlogs of Epics using an agile approach, reviewing and demonstrating technical solutions with stakeholders and agile pods. You will implement automation for dataset ingestion, searching, and processing, while debugging complex issues and providing technical workarounds.

Responsibilities

• Design and build IaC and integration points for data mesh solutions.
• Deliver against defined backlogs of Epics using an agile approach.
• Review and demonstrate technical solutions with stakeholders and agile pods.
• Implement automation for dataset ingestion, searching, and processing.
• Debug complex issues and provide technical workarounds.

Required Skills

• 5+ years of hands-on experience with Azure DevOps.
• Expertise in CI/CD pipeline implementation and continuous delivery.
• Proficiency with Git, GitLab, Git Flow, and Azure Repos.
• Strong DevSecOps experience using Azure DevOps, Pipelines, GitHub, and GitHub Actions.
• Hands-on experience with Kubernetes, Docker, and Azure Container Registry.
• Proficiency in PowerShell scripting and consuming REST APIs from .NET technologies.
• Knowledge of Azure Databricks and its architecture.
• Knowledge of Azure Machine Learning Service and its architecture.
• Experience with Azure Functions and cloud monitoring/logging solutions on Azure.

Preferred Skills

• Background in financial services, banking, or large enterprise environments.
• Experience in Data Management, Machine Learning, or Artificial Intelligence.

Key Skills

Education

Any gradudate