20 publicaciones de empleo destacadas de databricks data en progreso nacional, dif (¡Están contratando!)

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- Inglés
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- Tiempo completo
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- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Oracle
- DevOps
Postulación rápida
B2B Commercial Data Analyst
PepsiCo —Miguel Hidalgo, CDMX
- Microsoft Excel
- Administración de personal
- Análisis de datos
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Data Engineer Senior
R&R It Consulting Negocios Integrales —Naucalpan, Méx.
- Tiempo completo
- Azure
- DevOps
- Ingeniería
Postulación rápida
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Senior Data Engineer (Ingeniero de Datos Senior)
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Microsoft Powerpoint
- Bilingüe
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Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Inglés
- SQL
- Licenciatura
Consultor de Ingeniero de Datos Remoto
NetPartners International —Ciudad de México, CDMX
- Español
- Azure
- Oracle
Postulación rápida
0172 - Data Architect
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Informática
- Ingeniería
Postulación rápida
la26.042 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
Postulación rápida
Senior Data Engineer (Integration & Azure) - Híbrido - CDMX
Orion Innovation —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Postulación rápida
14d
Senior Backend Engineer (Python) - Content Understanding
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- CAD
- Licenciatura
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Data Modeller
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Azure
- Informática
- Inglés
Postulación rápida
Data Scientist - AI
HARTING México S.A. de C.V. —Residencial Militar, CDMX
- Azure
- Informática
- Inglés
Postulación rápida
Marketing Technologist, Data Enablement
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Informática
- SQL
AI Engineer
BBVA —Miguel Hidalgo, CDMX
- Trabajo híbrido
- Ingeniería
- Maestría
- Recepción
2d
Senior AI Data Engineer
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- CAD
- SQL
- Presencial
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
la26.031 - Data Engineering Lead
Tiger Analytics Inc. —Ciudad de México, CDMX
- Home Office (Desde casa)
- Azure
- Desarrollo de software
Postulación rápida
Enhancements Data SSIS Analytics - Senior Associate - Operate
PwC —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Inglés
- Experiencia en bases de datos
9d
Databricks Architect
Luxoft —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés

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Data Analytics & BI Reporting - Senior Associate - Operate

PwC -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo
Hace 9 días

Cualificaciones

Azure
Informática
Inglés
Experiencia en bases de datos
Licenciatura
Usabilidad
Servicios web
Apache

Descripción completa del empleo

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As a Data Analytics & BI Reporting - Senior Associate - Operate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand, deepen your technical skills, and enhance your awareness of strengths. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow.

In this role at PwC Acceleration Center Mexico, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.

Responsibilities

Designing and implementing data pipelines to facilitate efficient data processing and analysis
Developing data integration and transformation solutions using platforms like Apache Airflow and Azure Data Factory
Building and maintaining data infrastructure to support scalable analytics and reporting
Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks for cloud-based data engineering tasks
Optimizing database performance and confirming data security through best practices in database management
Collaborating with clients to understand their data needs and deliver actionable insights
Applying analytical thinking to interpret complex data sets and inform strategic recommendations
Managing data quality and validation processes to maintain integrity and reliability of data outputs
Leading efforts in data architecture development and dimensional modeling to enhance data accessibility and usability
Navigating complex situations and fostering meaningful client relationships to drive business growth

What You Must Have

At least a Bachelor's degree
At least 4 years of experience
Oral and written proficiency in English required

What Sets You Apart

Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Utilizing Amazon Web Services (AWS) and Microsoft Azure Databricks
Developing data pipelines and data integration strategies
Excelling in data architecture development and database optimization
Implementing data anonymization and security best practices
Navigating complex data engineering platforms and tools
Demonstrating analytical thinking and problem-solving skills

Travel Requirements

Up to 20%

Job Posting End Date

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