6 publicaciones de empleo destacadas de excellence representative en ciudad de méxico (¡Están contratando!)

Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
Software Engineer
NielsenIQ —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Informática
- Inglés
- Java
Postulación rápida
ICITAP Forensic Digital Evidence Advisor
Amentum —Ciudad de México, CDMX
- Tiempo completo
DevOps Specialist
DXC Technology —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Risk Control Specialist
EVO Payments Mexico, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Mejora continua
- Servicios financieros
Postulación rápida
Sr .Net Software Developer
EVO Payments Mexico, S. de R.L. de C.V. —Cuajimalpa, CDMX
- Análisis de datos
- SQL
- Servicios financieros
Postulación rápida

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Data Engineer

NielsenIQ -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$35,000 a $46,000 por mes

Cualificaciones

Modelado de datos
Azure
Spark
Inglés
Google Cloud Platform
SQL
Redshift
Python
Debugging

Descripción completa del empleo

Company Description

NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in more than 90 countries, NIQ provides manufacturers and retailers with accurate, actionable insights to innovate and grow.

Job Description

We are looking for a talented Data Engineer to join our global data engineering team. In this role, you will be responsible for building and maintaining scalable data pipelines and supporting the delivery of high-quality data for analytics and business insights.

You will work closely with cross-functional teams to ensure data availability, reliability, and performance across our platforms.

Key Responsibilities

Build, maintain, and optimize data pipelines (ETL/ELT) for large-scale datasets
Develop scalable data solutions for data ingestion, transformation, and delivery
Ensure data quality, validation, and reliability across pipelines
Work with stakeholders to understand data needs and translate them into technical solutions
Debug and troubleshoot data issues across pipelines and systems
Support data modeling efforts (e.g., star schema, dimensional models)
Contribute to improving pipeline performance and reducing latency
Collaborate with global teams in a fast-paced environment

Qualifications

2–4 years of experience in Data Engineering or related roles
Strong programming skills in Python and SQL (required)
Experience working with data pipelines and ETL processes
Familiarity with cloud platforms (Azure, AWS, or GCP)
Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.)
Understanding of data modeling concepts
Strong problem-solving and debugging skills
Ability to work in a global environment (English required)

Preferred Qualifications

Experience with Spark / PySpark
Familiarity with orchestration tools such as Airflow
Knowledge of DBT or similar transformation tools
Experience working with large-scale datasets
Exposure to CI/CD or DataOps practices

Additional Information

What You’ll Need to Succeed

Strong attention to detail and data quality
Hands-on mindset with ability to learn quickly
Ownership of tasks and ability to work independently
Good communication and collaboration skills
Interest in building scalable data systems

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://nielseniq.com/global/en/info/niqs-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

Want to keep up with our latest updates?

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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