Description

You will design and implement end-to-end data solutions within the Microsoft Azure ecosystem.

This role is on-site.

Responsibilities

• Design, analyze, and document data flows, integrations, modeling, and transformations.
• Implement enterprise data models to support large-scale processing and analytics while ensuring data integrity and scalability.
• Build end-to-end data pipelines in Spark using Medallion architecture and engineering best practices.
• Provision resources using Terraform, Bicep, or Azure Resource Manager (ARM).
• Apply information security best practices within cloud-based data environments.

Required Skills

• 5+ years of experience building and working with data services in Microsoft Azure.
• Deep experience with Azure Data Factory, Databricks, Azure Synapse, and Azure Fabric.
• Proficiency in Python, Bash, and scripting tools like Azure CLI, PowerShell, or SED/AWK.
• Experience with Spark-based pipeline development.
• Knowledge of source code management and review processes using Git, GitHub, GitLab, or Bitbucket.
• Experience with build and release tools such as Azure DevOps, Jenkins, or GitHub Actions.
• Experience working in Agile software environments.
• Bachelor's degree in Computer Science.

Preferred Skills

• Experience with Terraform, Bicep, or ARM for resource provisioning.

Key Skills

Education

Bachelor's degree in Computer Science