Our client is a global leader in next-generation digital services and consulting. They enable clients in more than 50 countries to navigate their digital transformation.

With over four decades of experience in managing the systems and workings of global enterprises, they expertly steer their clients through their digital journey. They do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. They also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Their always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from their innovation ecosystem.

We are currently searching for an Azure Data Engineer:

Responsibilities:

• Work on a hybrid model in any of our client’s locations (Mexico City, Guadalajara, or Monterrey).
• Provide production support and development in a data engineering environment.
• Design, implement, and maintain robust and scalable data pipelines on Azure.
• Troubleshoot performance issues, identify root causes and apply fixes.
• Implement and manage CI/CD pipelines for data engineering projects using Azure DevOps.

Requirements:

• 3+ years of experience designing, implementing, and maintaining data pipelines on Azure with services such as Azure Data Factory, Azure SQL Data Warehouse, Azure Analysis Services, or Azure Databricks/Synapse/Fabric.
• 2+ years of experience in data platform design/architecture with a multi-layered approach.
• 2+ years of experience in troubleshooting performance issues.
• 3+ years of experience in SQL.
• Ability to implement CI/CD pipelines for data engineering projects.

Languages

• Advanced Oral English.
• Native Spanish.

Note:

• Hybrid (Guadalajara, Mexico City, Monterrey)

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