Data Engineer Lead / Azure (WFH - Mexico)
Remote
Full Time
Manager/Supervisor
🚀 DE Lead / Azure
Join a transformative data platform project and help modernize data handling for advanced manufacturing processes. Leverage cutting-edge Azure tools and cloud technologies to build, automate, and optimize a next-generation data platform, ensuring scalable, high-quality data pipelines. Collaborate with cross-functional teams to enable ML and AI workloads against high-volume manufacturing data.
What You’ll Need to Succeed
• Proficiency in Azure Cloud Platform (most important), with exposure to AWS and Google Cloud.
• Advanced skills in Python (most important), with knowledge of Java, C#, and .NET.
• Expertise in Databricks (most important), SQL, and NoSQL databases.
• Familiarity with MLOps tools: CI/CD Tools (Azure DevOps/Jenkins/etc.), Containerization (Docker/Kubernetes/etc.), and version control systems (git).
Role Requirements
• Build and maintain scalable data pipelines on Azure Functions and Databricks.
• Collaborate with senior architects to implement and improve technologies supporting ML Ops and Cloud Platforms.
• Enable data insights by working with disparate data sources for manufacturing process optimization.
Preferred Qualifications
• Strong understanding of cloud-based data solutions and best practices.
• Experience with large-scale data platform projects.
• Background in collaborating with data science teams for ML and AI workloads.
Additional Details
• Location: Anywhere in Mexico (remote work from home).
• Eligibility: Only fluent English speakers and legal residents/locals can be considered (directly hired as a full-time employee).
• Contract Type: Direct hire, indefinite contract.
Starting Benefits
• Aguinaldo and vacations: by law.
• Grocery Vouchers (Vales de Despensa).
• Life Insurance.
• Major Medical Insurance: Individual coverage.
Join a transformative data platform project and help modernize data handling for advanced manufacturing processes. Leverage cutting-edge Azure tools and cloud technologies to build, automate, and optimize a next-generation data platform, ensuring scalable, high-quality data pipelines. Collaborate with cross-functional teams to enable ML and AI workloads against high-volume manufacturing data.
What You’ll Need to Succeed
• Proficiency in Azure Cloud Platform (most important), with exposure to AWS and Google Cloud.
• Advanced skills in Python (most important), with knowledge of Java, C#, and .NET.
• Expertise in Databricks (most important), SQL, and NoSQL databases.
• Familiarity with MLOps tools: CI/CD Tools (Azure DevOps/Jenkins/etc.), Containerization (Docker/Kubernetes/etc.), and version control systems (git).
Role Requirements
• Build and maintain scalable data pipelines on Azure Functions and Databricks.
• Collaborate with senior architects to implement and improve technologies supporting ML Ops and Cloud Platforms.
• Enable data insights by working with disparate data sources for manufacturing process optimization.
Preferred Qualifications
• Strong understanding of cloud-based data solutions and best practices.
• Experience with large-scale data platform projects.
• Background in collaborating with data science teams for ML and AI workloads.
Additional Details
• Location: Anywhere in Mexico (remote work from home).
• Eligibility: Only fluent English speakers and legal residents/locals can be considered (directly hired as a full-time employee).
• Contract Type: Direct hire, indefinite contract.
Starting Benefits
• Aguinaldo and vacations: by law.
• Grocery Vouchers (Vales de Despensa).
• Life Insurance.
• Major Medical Insurance: Individual coverage.
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