9 publicaciones de empleo destacadas de azure data engineer en querétaro, que (¡Están contratando!)

Azure Data Engineer
Infosys —Querétaro, Qro.
- Azure
- Informática
- Inglés
Postulación rápida
3d
Data Engineer - Remoto - 2727
Xideral —Querétaro, Qro.
- Home Office (Desde casa)
- Azure
- Inglés
- SQL
Postulación rápida
Cybersecurity Engineer IT
Ansell —Querétaro, Qro.
- Tiempo completo
- Microsoft Access
- Azure
- Informática
Especialista en Ingeniería de Datos
Tanger —Querétaro, Qro.
- $50,000 a $70,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- SQL
- Python
Postulación rápida
Critical Environment Operations
Microsoft —Querétaro, Qro.
- Turno de 12 horas
- Azure
- Inglés
- Microsoft Office
12d
Infrastructure Specialist
PPG —Querétaro, Qro.
- Tiempo completo
- Azure
- Inglés
- Mejora continua
- Seguro de vida
Postulación rápida
11d
Senior Critical Environment Operations
Microsoft —Querétaro, Qro.
- Turno de 12 horas
- Azure
- Inglés
- Microsoft Office
Senior Artificial Intelligence Engineer
JANA Engineering Services de Mexico. —Querétaro, Qro.
- $40,000 a $45,000 por mes
- Tiempo completo
- Azure
- Informática
- Inglés
Postulación rápida
Critical Environment Field Service Engineer
Microsoft —Querétaro, Qro.
- Tiempo completo
- Azure
- Inglés
- Microsoft Office

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Data Engineer - Remoto - 2727
Xideral —Querétaro, Qro.
Participar en el diseño de modelos analíticos y estructuras de data warehouse. Nos encontramos en búsqueda de un Data Engineer con sólida experiencia en el…
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Azure Data Engineer

Infosys -
Querétaro, Qro.

Postulación rápida

Información del empleo

Hace 3 días

Cualificaciones

Modelado de datos
Azure
Informática
Spark
Git
Inglés
SQL
Licenciatura
Seguridad
Python

Descripción completa del empleo

Azure Data Engineer (Ingeniero de Datos Azure)
Location: Mexico (Mexico City, Guadalajara, Monterrey, Queretaro) – Hybrid as per Infosys Mexico policy (CDT/EDT time)

Role Overview
As an Azure Data Engineer, you will drive the architecture, design, and optimization of scalable data platforms and pipelines on Azure. You will apply advanced expertise in SQL, Python, and Spark to build efficient ETL/ELT solutions, lead data modeling and performance tuning efforts, and ensure seamless integration with diverse data sources and BI tools. Additionally, you will establish and enforce data governance, security, and compliance standards, collaborate with stakeholders to translate business needs into robust solutions, and mentor team members to ensure high-quality delivery and alignment with enterprise data strategy.

Key Responsibilities

Monitor and respond to alert emails regarding execution failures across all team tools—such as Databricks, Azure Data Factory, or data quality gap reports within our processes.
Proactively respond to user questions on team Zoom channels, capture issues in our processes, and implement necessary fixes.
Work extensively with Azure Cloud Services, Azure Data Factory, Databricks, Python, and Spark, snowflake including handling user requested break-ins such as issue investigation, missing data analysis and remediation of jobs or pipelines that did not run according to their pre-configured schedules.

Basic Qualifications

Bachelor’s degree or foreign equivalent in Computer Science or related field.
6+ years of IT experience, including pipeline design, support and development (Batch and Streaming) using Azure cloud services and Snowflake.
Excellent assertive communication with users and stakeholders in English.
Understanding of Agile methodologies.

Mandatory Skills

Proficiency in Python: Advanced/expert-level proven experience in Python and Spark.
Strong understanding of ETL/ELT processes: Proven experience designing and maintaining ETL processes in Databricks and Azure Data Factory, including connectivity with third party systems/APIs, Event Hubs, Snowflake and other potential data sources.
Experience with Azure Cloud Services: Demonstrated knowledge of cloud platforms—specifically Azure—including storage, security, and resource optimization.

Preferred Skills

Experience working with Git-based version control (e.g., GitHub, GitLab, Bitbucket) and familiarity with branching strategies, pull requests, and code review workflows.
Focus on system maintenance: Strong emphasis on proactive detection and fast reactive maintenance of running jobs and pipelines.

Other Requirements

Ability to work under tight timelines and manage complex requirements.
Flexible to work during CDT/EDT time zones and meet for hand-over activities to India team if needed.
Self-motivated, proactive, and a strong team player.

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azure data engineer empleos en querétaro, que

Azure Data Engineer

Data Engineer - Remoto - 2727

Cybersecurity Engineer IT

Especialista en Ingeniería de Datos

Critical Environment Operations

Infrastructure Specialist

Senior Critical Environment Operations

Senior Artificial Intelligence Engineer

Critical Environment Field Service Engineer

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