20 publicaciones de empleo destacadas de ai devops engineer en san simón ticumac cdmx (¡Están contratando!)

Senior Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $65,400 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
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Levi Strauss & Co. —Centro (Área 1), CDMX
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- Azure
- Informática
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Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
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McDonald's Corporation —Ciudad de México, CDMX
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- Microsoft Access
- Azure
- Administración de personal
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- Azure
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Orion Innovation —Ciudad de México, CDMX
- Azure
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Peek —Ciudad de México, CDMX
- $950,000 a $1,300,000 por año
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
la26.042 - Data Engineer
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
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SDG Group —Ciudad de México, CDMX
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- DevOps
- ERP systems
- Inglés
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Azure Specialist
McDonald's Corporation —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Microsoft Access
- Azure
- DevOps
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Full Stack Engineer (Contract) - Remote
Tech Holding —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Databricks Engineer
RevStar —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
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9d
Senior Security Platform Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
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- Linux
Data & Reporting Application Engineer
DXC Technology —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
Senior Software Engineer II
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
2d
Senior Engineer – Developer Velocity
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Informática
- DevOps
- Maestría
Postulación rápida
Lead Site Reliability Engineer
Capital One —Ciudad de México, CDMX
- Correo electrónico
- Azure
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- Java
Senior Full-Stack Developer / AI Specialist (Full-Time / On-Call)
Growmodo GmbH —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Inglés
- JavaScript
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Mobile Engineer (Mexico, All Levels)
Sezzle —Ciudad de México, CDMX
- $4,700 a $7,500 por mes
- Home Office (Desde casa)
- Informática
- DevOps
- Licenciatura
SUB-DIRECTOR DESARROLLO DE SISTEMAS
Grupo Financiero Banorte —Ciudad de México, CDMX
- Oracle
- DevOps
- Ingeniería
9d

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Senior Data Engineer

NielsenIQ -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$65,400 por mes

Cualificaciones

Looker
Azure
Informática
Informática
Big data
DevOps
Google Cloud Platform
Tableau
S3
Redshift
Python

Descripción completa del empleo

Company Description

At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking for a Big Data Software Engineer to join our NIQ Activate Technology team in Yokne'am Illit, Israel. This is a hybrid work environment with the expectation of being in the office 2-3 days a week.

NIQ Activate is a leading provider of AI-powered customer analytics, personalization, and brand collaboration platform. Serving dozens of retailers and brands across the world using cutting-edge Big Data, real-time analytics, and data-science automation. Our solution is disrupting existing data & media monetization models by enabling retailers to remain in control of their revenue.

Job Description

What You’ll Do

Design, build, and maintain ETL pipelines for data ingestion, transformation, and delivery.
Automate and maintain report generation using Snowflake, dbt, and Airflow.
Build scalable data pipelines and transformations in Python.
Apply cloud best practices for data storage, partitioning, performance, and cost.
Own production pipelines, including monitoring and continuous improvement.
Troubleshoot data and pipeline issues from clients and internal teams; identify root causes and implement durable fixes.
Write maintainable, tested code and participate in code reviews.
Adapt pipelines to changing business and client requirements.
Partner with analytics, engineering, and product teams on data initiatives.
Deliver data solutions for financial use cases end to end.

Qualifications

We’re looking for candidates who have:

Degree in Computer Science, Information Science, or a related quantitative field.
5+ years of experience building and maintaining ETL pipelines using Python.
Strong experience with data warehouses and analytics platforms (Snowflake preferred).
Hands‑on experience with workflow orchestration tools such as Airflow.
Experience with dbt or similar transformation frameworks.
Working knowledge of a major cloud platform (AWS, GCP, or Azure) and data services (e.g., S3, Redshift, BigQuery).
Familiarity with BI tools such as Looker, Tableau, or Qlik.
Understanding of CI/CD pipelines and DevOps best practices.
Strong analytical skills with attention to data quality and correctness.
Clear communication skills with both technical and non‑technical stakeholders.
Comfortable collaborating with globally distributed teams.

Additional Information

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers/fast-moving consumer goods and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary NielsenIQ data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge. We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

NielsenIQ is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class.

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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