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Jobs in Leon, Mexico

Data Engineer (Databricks) - REMOTE

Capgemini

Región Centro
Remote
MXN 500,000 - 700,000
29 days ago
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Project Manager, Qualitative Market Research Studies

Konovo

Puebla de Zaragoza
Remote
MXN 200,000 - 400,000
29 days ago

Freelance Recruiter (Remote / Global)

RecXchange

Guadalajara
Remote
MXN 200,000 - 400,000
29 days ago

Online Data Analyst

TELUS Digital AI Data Solutions

Zamora
Remote
MXN 200,000 - 400,000
29 days ago

Backend Engineer

Tential Solutions

Mexico
Remote
MXN 1,306,000 - 1,680,000
29 days ago
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Go (Golang) Software Engineer for Identity Management

Canonical Group Ltd

Mexico
Remote
MXN 1,493,000 - 2,240,000
29 days ago

Business Lead

OLIVER+

Mexico
Remote
MXN 400,000 - 600,000
29 days ago

Enterprise Customer Success Manager

Canonical

Mérida
Remote
MXN 400,000 - 600,000
29 days ago
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Embedded Linux Senior Software Engineer - Optimisation

Canonical

Mérida
Remote
MXN 600,000 - 800,000
29 days ago

Fullstack Developer (Senior) - Python (Flask) + React - Remote, Latin America

Bluelight

Hermosillo
Remote
MXN 200,000 - 400,000
29 days ago

Fullstack Developer (Senior) - Python (Flask) + React - Remote, Latin America

Bluelight

San Luis Potosí
Remote
MXN 1,119,000 - 1,494,000
29 days ago

Gerente Regional de Cartera Vencida - Leon Guanajuato

Importante empresa del sector

León
On-site
MXN 1,000,000 - 1,500,000
25 days ago

Operador de Producción - León

Yazaki North America, Inc.

León
On-site
MXN 200,000 - 400,000
27 days ago

Data Scientist II

Menlo Ventures

Mexico
Remote
MXN 400,000 - 600,000
30 days ago

Analista Funcional Ssr - REMOTO

Northware SA de CV

Apodaca
Remote
MXN 200,000 - 400,000
30+ days ago

Car Carrier Coordinator (JOD: FRAPAM2)

Inside Out

Mexico
Remote
MXN 200,000 - 400,000
30+ days ago

Videogames Customer Service (Portuguese, WRITTEN SUPPORT)

Keyword Studios

Ciudad de México
Remote
MXN 200,000 - 400,000
30+ days ago

Virtual Assistant – Real Estate Business (JOB ID:BAIJFC)

Inside Out

Mexico
Remote
MXN 200,000 - 400,000
30+ days ago

Sales Development Representative (Remote – AI Marketing Platform)

Brafton Inc.

Torreón
Remote
MXN 746,000 - 1,120,000
30+ days ago

Cloud Field Engineering Manager

Canonical

Mexicali
Remote
MXN 400,000 - 600,000
30+ days ago

Data Analytics and Reporting Analyst

Konovo

Mexico
Remote
MXN 400,000 - 600,000
30+ days ago

Becario de IT

Brickon

Ciudad de México
Remote
MXN 200,000 - 400,000
30+ days ago

Ingeniero TI de Soporte a Clientes (Bilingüe)

Iron Mountain

Estado de México
Remote
MXN 400,000 - 600,000
30+ days ago

Technical Customer Support, I 2nd Shift M-F 12:00am-8:00am

Zebra Technologies

Ciudad de México
Remote
MXN 25,000 - 35,000
30+ days ago

[Life Sciences] Estonian into English Translator

Lionbridge Technologies, Inc.

Mexico
Remote
MXN 200,000 - 400,000
30+ days ago

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Data Engineer (Databricks) - REMOTE
Capgemini
Región Centro
Remote
MXN 500,000 - 700,000
Full time
29 days ago

Job summary

A global leader in engineering services is seeking a Data Engineer to develop and maintain data pipelines using Python, PySpark, and SQL. The ideal candidate will implement solutions using Azure technologies and apply DevOps practices. The role promotes a flexible work-life balance and offers engaging projects with innovative technologies. Diversity and inclusion are valued in the hiring process.

Benefits

Competitive compensation
Flexible work arrangements
Career growth opportunities
Innovative projects

Qualifications

  • Development and maintenance of data pipelines using Python, PySpark, and SQL.
  • Management of code with Git and utilization of Azure Databricks.
  • Implementation of solutions using Azure Data Factory and Azure Functions.

Responsibilities

  • Develop and maintain data pipelines.
  • Collaborate effectively within an English-speaking team.
  • Apply DevOps practices in software development.

Skills

Python
PySpark
SQL (including MySQL)
Git
Azure Databricks
Azure Data Factory
DevOps practices
RESTful APIs
Web scraping
Data analysis
Job description

Data Engineer (Databricks)

At Capgemini Engineering, a global leader in engineering services, we bring together engineers, scientists, and architects to help innovative companies unleash their potential. Our experts work on autonomous cars, life-saving robots, and more, providing unique R&D and engineering services across industries. Join us for a career full of opportunities and make a difference where no two days are the same.

Responsibilities
  • Develop and maintain data pipelines using Python, PySpark, and SQL (including MySQL)
  • Manage code with Git and utilize Azure Databricks, Notebooks, and Workflows
  • Implement solutions using Azure Data Factory, Azure Functions, Logic Apps, Key Vault, and Storage
  • Apply DevOps practices with FastAPI, Pytest, and RESTful APIs
  • Perform web scraping and data analysis
  • Collaborate effectively within an English-speaking team
What You’ll Love About Working Here
  • Flexible work arrangements promoting work-life balance and empowerment
  • Opportunities to learn new skills and deepen knowledge while working
  • Engaging projects with innovative technologies
  • Inclusive, collaborative culture with open communication
Benefits and Opportunities
  • Competitive compensation and benefits
  • Work-life balance and flexibility
  • Clear career paths, training, and growth opportunities
  • Challenging and meaningful projects

Capgemini is a global business and technology transformation partner, helping organizations transition to digital and sustainable solutions. With over 55 years of experience and 340,000 team members across more than 50 countries, we leverage AI, cloud, data, and industry expertise to deliver end-to-end solutions.

At Capgemini Mexico, we value diversity and inclusion, welcoming applications from all backgrounds. We are committed to creating a fair and merit-based hiring process.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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