20 publicaciones de empleo destacadas de principal data engineer en loreto cdmx (¡Están contratando!)

Principal Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $80,000 a $94,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- DevOps
Postulación rápida
Data Engineer
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $45,000 a $90,000 por mes
- Tiempo completo
- Azure
- DevOps
- Ingeniería
- Seguro de vida
Postulación rápida
9d
Data Analytics Engineer
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $25,000 a $30,000 por mes
- Tiempo completo
- Trabajo híbrido
- Oracle
- Ingeniería
- Análisis de datos
- Seguro de vida
Postulación rápida
15h
Senior Technical Program Manager, Engineering Enablement
Mastercard —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Microsoft Excel
- Administración de personal
Data Engineer
IDS Comercial, S.A. de C.V. —Benito Juárez, CDMX
- Tiempo completo
- Home Office (Desde casa)
- SQL
- Python
- Oportunidades de crecimiento
Postulación rápida
PMTS - Principal Agentic Data Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Cloud Data Engineer
Capital Empresarial Horizonte —Benito Juárez, CDMX
- $40,000 por mes
- Tiempo completo
- Trabajo híbrido
- Oracle
- Informática
- Ingeniería
- Seguro de vida
Postulación rápida
1d
Data Engineer - Casos de Uso
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- DevOps
- Java
- SQL
Data Engineer
rocket code —Álvaro Obregón, CDMX
- $25,000 a $30,000 por mes
- Tiempo completo
- Oracle
- Ingeniería
- Experiencia en bases de datos
Postulación rápida
2d
Data Analyst Engineer
Hitachi —Ciudad de México, CDMX
- Aplicaciones en linea
- Azure
- Informática
- Ingeniería
2d
0147 - Data Engineer Sr
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- DevOps
- Java
- SQL
Postulación rápida
Principal Agentic Data Systems Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- SQL
- Python
Senior Talent Acquisition Partner, AI & Tech (LATAM)
Medallia —Cuauhtémoc, CDMX
- $13,400 por mes
- Tiempo completo
- Administración de personal
- DevOps
- Inglés
Data Architect Sr.
Smart Payment Services —Del Valle Centro, CDMX
- $90,000 por mes
- Tiempo completo
- Informática
- DevOps
- Ingeniería
- Seguro de vida
Postulación rápida
Principal Analyst, Microsoft 365 Platform Strategy & Architecture
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Seguro dental
- Seguro de la vista
2d
Facilities Engineer
Cencora —Gustavo Baz, Méx.
- Tiempo completo
- Mantenimiento
- Inglés
- Sin título de educación superior
1d
Data Analyst Engineer
Hitachi Rail —Ciudad de México, CDMX
- Aplicaciones en linea
- Azure
- Informática
- Ingeniería
1d
Senior Data Engineer
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- SQL
- Python
Senior Manager, Data Engineering
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- CAD
- SQL
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Ab Initio Developer
Kyndryl —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- Experiencia en bases de datos
- SQL

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Principal Data Engineer

NielsenIQ -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$80,000 a $94,000 por mes

Cualificaciones

Looker
Modelado de datos
Azure
Informática
Ingeniería de software
Big data
DevOps
Spark
Cifrado
Inglés
Google Cloud Platform
Herramientas de automatización
Java
Maestría
SQL
Licenciatura
JavaScript
Seguridad
Apache
Habilidades de comunicación
Python

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

NIQ is looking for a Senior Data Platform Engineer to join our Financial Services Engineering team.

At NIQ, the Financial Services team uses alternative datasets to help global public equity investors (hedge funds, mutual funds, pension funds) make better investment decisions. We work with some of the largest hedge funds in the world. As a Principal Data Platform Engineer, you will be at the cutting edge of the alternative data space where you will help maintain and improve our data platform, which enables us to develop market research products and delivery data to our customers. In this role, you would also get the opportunity to work with world-class big data and cloud services, such as: AWS, Azure, Snowflake, Databricks, DBT, Airflow, and Looker. Apply now to start taking your career to the next level.

Who we are looking for:

You have a strong entrepreneurial spirit and a thirst to solve difficult challenges through innovation and creativity with a strong focus on results
You have a passion for data and the insights it can deliver
You are intellectually curious with a broad range of interests and hobbies
You take ownership of your deliverables
You have excellent analytical communication and interpersonal skills
You have excellent communication skills with both technical and non-technical audiences
You can work with distributed teams situated globally in different geographies
You want to work in a small team with a start-up mentality
You can work well under pressure, prioritize work and be well organized. Relish tackling new challenges, paying attention to details, and, ultimately, growing professionally.

Responsibilities:

Design, develop, and maintain robust and scalable data pipelines that support the extraction, transformation, and loading of data from various sources into our data platform.
Build and extend our automation tools for infrastructure provisioning, auto-scaling, code deployment, monitoring, alerting, reporting, and failover.
Collaborate with the engineering team to build and maintain a resilient data platform, ensuring high availability, reliability, and performance.
Leverage your expertise in Apache Airflow to orchestrate and manage complex ETL workflows efficiently.
Optimize data pipeline performance, troubleshoot issues, and ensure data quality and accuracy through monitoring, testing, and validation.
Keep up to date with the latest trends in data engineering and evaluate and introduce new technologies and tools to improve our data infrastructure.
Drive the design and implementation of data security and access control policies to protect sensitive information.
Collaborate with the DevOps team to ensure seamless deployment and monitoring of data pipelines and workflows.

Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
7+ years of experience as a Data Engineer with a strong background in ETL processes and data warehousing.
4+ years of experience with Apache Airflow for orchestrating data pipelines.
Proficiency in using ETL tools and frameworks such as Apache Spark, Matillion.
Strong software engineering fundamentals, including proficiency in Python, Java, or other relevant languages.
Knowledge of data modeling, data warehousing, and SQL.
Expertise in working with both structured and unstructured data.
Experience with cloud-based data solutions, such as AWS, GCP, or Azure.
Solid understanding of data storage, data transformation, and data integration concepts.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Strong communication and team collaboration skills.
Knowledge of data security and encryption best practices is a plus.
Ability to work in a global, (English required, interviews will be completed in english)

Additional Information

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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