Data Engineer «Semi-Senior» «Monterrey»

Information Technologies Consultant Home S.A. de C.V.; México; Híbrido; MXN 40,000 - 80,000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a skilled professional to enhance their data infrastructure using Microsoft Azure Data Factory. In this dynamic role, you'll build and automate systems for data ingestion and transformation, supporting Data Science initiatives and MLOps processes. The position requires a strong background in Azure DevOps and CI/CD practices, ensuring efficient deployment of machine learning models. Join a forward-thinking team that values your expertise and offers a competitive salary along with superior benefits. This is a fantastic opportunity to make a significant impact in a growing field.

Servicios

Competitive salary

Superior benefits

Flexible work schedule

Formación

• 5+ years of experience with Microsoft Azure Data Factory.
• Experience in pipeline development in Azure DevOps.
• Advanced level of English required.

Responsabilidades

• Build data ingestion and transformation infrastructure for analytics.
• Set up and automate infrastructure for Data Science development.
• Apply software engineering best practices to machine learning.

Conocimientos

Microsoft Azure Data Factory

Azure DevOps

MLOps

Data ingestion and transformation

CI/CD

IAC

Descripción del empleo

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Job Reference:

560638815

Job Views:

2

Posted:

27.04.2025

Expiry Date:

11.06.2025

Job Description:

Experience Required in:

1. Build data ingestion and data transformation infrastructure to stream appropriate data from source into analytic, Client, and AI applications.
2. Set up and automate infrastructure to facilitate Data Science development, integration, and deployment such as CI/CD, model health monitoring, automated triggers, model registry, feature stores, etc.
3. Familiarity with machine learning pipelines across the entire MLOps process, including training models and deploying business ML models built by data scientists to production with supporting infrastructure.
4. Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, monitoring, scaling solutions, etc.
5. Experience in pipeline development in Azure DevOps.
6. IAC experience.

Primary Skill: Microsoft Azure Data Factory (Avanzado)

Requirements:

1. 5 years of experience with Microsoft Azure Data Factory.
2. Experience with Azure DevOps.
3. Advanced level of English.
4. Familiarity with MLOps (not mandatory).

Location: Monterrey, 1-2 times a week in the office.

WE OFFER: Competitive salary, payroll, law, and superior benefits.

Work area: Only candidates who live in Monterrey.