20 publicaciones de empleo destacadas de data engineer en santiago teyahualco méx. (¡Están contratando!)

Oliver Wyman - Data Engineer - Mexico City
Oliver Wyman —City, Hgo.
- Tiempo completo
- Azure
- Oracle
- Mantenimiento
Data Engineer
PROGRAMMING.COM —Azcapotzalco, CDMX
- $75,000 a $85,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- SQL
- Disponible para viajar
Postulación rápida
Senior Data Engineer
Simplepractice —City, Hgo.
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Data Engineer - CORO Products
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Azure
- Inglés
- SQL
7d
Senior Data Engineer
International Flavors & Fragrances —Tlalnepantla, Méx.
- Tiempo completo
- Azure
- Informática
- Maestría
Staff I Data Engineer - CORO Products
Bain & Company Inc —City, Hgo.
- Tiempo completo
- Azure
- Administración de personal
- DevOps
7d
Data Engineer Middle GCP
Inetum —Ciudad de México, CDMX
- Tiempo completo
- Inglés
- SQL
- Python
- Programa de bienestar
- Oportunidades de crecimiento
Postulación rápida
Data Engineer
NielsenIQ —Ciudad de México, CDMX
- $35,000 a $46,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Inglés
- SQL
Postulación rápida
Data Engineer
albo —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en bases de datos
- SQL
- Experiencia en operaciones bancarias
Postulación rápida
14d
Data Analyst Engineer
Hitachi —Ciudad de México, CDMX
- Aplicaciones en linea
- Azure
- Informática
- Ingeniería
2d
Data Engineer | CDMX | Híbrido
Orion Innovation —Ciudad de México, CDMX
- DevOps
- Ingeniería
- SQL
Postulación rápida
6d
Data Engineer - Databricks
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Informática
- DevOps
Data Engineer - Casos de Uso
Bluetab, an IBM Company —Ciudad de México, CDMX
- Trabajo híbrido
- DevOps
- Java
- SQL
Data Analyst Engineer
Hitachi Rail —Ciudad de México, CDMX
- Aplicaciones en linea
- Azure
- Informática
- Ingeniería
1d
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
ETL Software Engineer | Data
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- SQL
8d
Data Engineer/Data Analyst | Trailhead Content Activation and Business Outcomes
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Experiencia en ventas
- Salesforce
- Inglés
- Permiso de maternidad y paternidad
Data Engineer - CORO Products
Bain & Co. —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- SQL
Postulación rápida
7d
Mid Data Engineer
Klar Technologies SA de CV SFP —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Experiencia en bases de datos
- Python
Postulación rápida
Staff Data Engineer
Kraft Heinz Company —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
14d

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Oliver Wyman - Data Engineer - Mexico City

Oliver Wyman -
City, Hgo.

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Información del empleo

Tiempo completo

Cualificaciones

Power BI
Azure
Oracle
Big data
Spark
R
Alteryx
Microsoft SQL Server
NoSQL
Mantenimiento
Inglés
Google Cloud Platform
Tableau
Maestría
Experiencia en bases de datos
SQL
Desarrollo de software
Kafka
Recolección de datos
SSIS
Requisitos comerciales
PL/SQL
Python
Hadoop

Descripción completa del empleo

Company:

Oliver Wyman

Description:

About Oliver Wyman

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

For more information, visit oliverwyman.com , or follow us on LinkedIn and X .

Job Overview:

You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. Strong experience with Databricks and solid coding skills in SQL and Python are essential to succeed in this role.

**Please include your CV in English when applying. Also, please note that this is a hybrid role based in our Mexico City office**

Key Responsibilities:

Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
Develop and maintain automated data pipelines for efficient data collection, transformation, and delivery adhering to business requirements.
Implement systems and processes to monitor and ensure data quality and integrity across production data sources.
Design data integrations and data quality frameworks while applying data governance principles.
Partner with business units and engineering teams to define long-term data platform architecture strategies.
Document technical designs, workflows, and best practices to support team knowledge sharing and system maintenance.
Provide technical guidance and mentorship to peers and other stakeholders as needed.

Experience Required:

Bachelors / MS in a quantitative discipline e.g., applied mathematics, statistics, computer science, information systems or related field
2+ years of experience in experience in data engineering, software development, or related roles.
2+ years of hands-on experience with Databricks and other ETL tools such as SSIS, Azure Data Factory, Alteryx, or Knime.
2+ years of SQL/PLSQL development experience
Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).
Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).
Proficiency with languages like Python or R
Ability to create compelling and insightful visualizations using tools like Tableau, Power BI, or other visualization platforms
Familiarity with relational and NoSQL databases, and experience with data warehousing concepts.
Experience with multiple RMDB’s such as SQL Server, Oracle

Skills and Attributes:

Excellent problem-solving and critical thinking skills required
Ability to drive exploration and draw conclusions from multiple data sets
Strong spirit of innovation, self-starter, independent, and with ability to come up with solutions to meet business problems
Self-directed who can interpret data to understand trends and derive meaningful business insights for senior executives with little oversight
Self-motivated with ability to work independently while also enjoying collaboration with cross-functional teams and other analysts
Strong desire to learn new skills and pass knowledge acquired onto others
Keen attention to detail with deep quantitative and analytical skills and demonstrated capacity to solve problems and enhance reporting
Strong relationship building skills and ability to build alignment among customers and key stakeholders with demonstrated experience influencing without authority
Ability to work effectively in a fast paced, deadline driven, highly dynamic atmosphere and react quickly to changes and shifting priorities.
Effective communication skills and ability to translate numbers into a story
You need to be curious by nature, understand how data is produced in our various underlying systems and how reporting and analytics content is compiled so that data can be turned into actionable business insights to support the firm’s strategy

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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