Description

You will own the Azure DevOps lifecycle for data engineering components and multi-tenant migrations.

Responsibilities

• Build and automate CI/CD pipelines with approval and quality gates.
• Orchestrate deployments for Spark, Azure Data Factory, and GraphQL across non-prod and production.
• Setup parallel test environments and manage cutover procedures.
• Manage access, permissions, licensing, service connections, and branching strategies.
• Execute disaster recovery planning and coordinate deployments.

Required Skills

• 9-12 years of experience in DevOps and Azure Cloud managed services.
• Deep knowledge of Azure DevOps components: Pipelines, Repos, Test Plans, Boards, and Extensions.
• Experience with Azure Data Engineering tools: ADF, Databricks, GraphQL, and Azure Kubernetes Service (AKS).
• Hands-on container orchestration with Docker, AKS, and Google Anthos.
• Proficiency in GitHub as a repository and its interface with Azure DevOps.
• Ability to write custom Shell, Python, and PowerShell scripts for automation.
• Experience with Azure Postgres Database and MongoDB.
• Proven track record in migrating Azure DevOps in multi-tenant scenarios and MuleSoft application deployments.
• BE in Computer Science.

Preferred Skills

• Experience developing on major cloud platforms such as AWS or GCP.

Key Skills

Education

BE (Computer Science)