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

Enhancements Data SSIS Analytics - Senior Associate - Operate
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- Tiempo completo
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- Salesforce
- Inglés
- Java
- Permiso de maternidad y paternidad
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- Administración de personal
- ERP systems
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MetLife —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Inglés
- Seguro de vida
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EY —Miguel Hidalgo, CDMX
- Azure
- Informática
- Maestría
SAP BOE Technical Specialist
Zurich Insurance —Ciudad de México, CDMX
- Tiempo completo
- Azure
- SQL
- Linux
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Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
- Seguro dental
- Seguro de la vista
JR-183528 SAP BW Consultant Lead
Customertimes —Ciudad de México, CDMX
- SQL
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
13d
Software Development Specialist
NTT Ltd —Ciudad de México, CDMX
- Azure
- Administración de personal
- Informática
8d
Senior Analyst, Measurement & BI
The Nielsen Company —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Salesforce
- Inglés
Postulación rápida
12h
Senior Data Platform Engineer
Nouryon —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Senior Software Engineer, Applied AI Services
Zillow.com —Ciudad de México, CDMX
- Tiempo completo
- Java
- JavaScript
- Disponible para viajar
Gerente Senior, Ciencia de Datos
Constellation Brands —Ciudad de México, CDMX
- Tiempo completo
- Informática
- ERP systems
- Inglés
13d
Senior Marketing Data Analyst
Qualcomm —Ciudad de México, CDMX
- Microsoft Excel
- Administración de personal
- Mercadotecnia
AI Business Operations Analyst - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Salesforce
- Inglés
- SQL
13d
Principal Fullstack Engineer
Amalga Group SA de CV —Benito Juárez, CDMX
- Tiempo completo
- Trabajo híbrido
- Bilingüe
- Microsoft Excel
- Administración de personal
Postulación rápida
2h
Commercial Operations Lead (Líder de Operaciones Comerciales) - Mexico City (Hybrid)
Clara —Ciudad de México, CDMX
- Administración de personal
- Experiencia en ventas
- Salesforce
Solutions Architect
Cube Dev —Ciudad de México, CDMX
- Home Office (Desde casa)
- Experiencia en ventas
- SQL
- JavaScript
Postulación rápida
Consumption Account Senior Manager
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Salesforce
- Python

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Enhancements Data SSIS Analytics - Senior Associate - Operate

PwC -
Ciudad de México, CDMX

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Información del empleo

Tiempo completo

Cualificaciones

Azure
Informática
Inglés
Experiencia en bases de datos
Licenciatura
Servicios web
SSIS

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 an Enhancements Data SSIS Analytics - 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 enable 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. Your work will be integral to the firm's overall business strategies, using a broad range of tools and methodologies to generate new ideas and solve problems.

Responsibilities

Designing and developing data infrastructure and systems to support efficient data processing and analysis
Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Managing and optimizing data warehouses, including Snowflake and Databricks platforms, to improve data accessibility and performance
Applying analytical thinking and critical problem-solving skills to address complex data challenges
Collaborating with clients to understand their data needs and deliver tailored solutions that drive business growth
Developing and maintaining data architecture and data models to support scalable and reliable data solutions
Confirming data quality and security through validation and adherence to best practices in database management
Leading teams in the execution of data-driven projects, fostering an environment of learning and innovation
Navigating complex situations and adapting to changing business contexts to deliver quality outcomes

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 for data engineering
Developing data architecture and integration strategies for complex analytics projects
Excelling in analytical thinking and critical problem-solving within data environments
Navigating ambiguity while managing client relationships and expectations
Mentoring junior team members in data engineering methodologies and tools

Travel Requirements

Up to 20%

Job Posting End Date

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databricks data empleos en progreso nacional, dif

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