Devops Support

The Big Jobsite

Aguascalientes

Presencial

MXN 180.000 - 280.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Capgemini in Mexico is seeking a Data Engineer for L2 Production Support to monitor, troubleshoot, and resolve production incidents, support Databricks jobs and data pipelines, and perform RCA with cross-functional teams.

The role emphasizes Python, PySpark, Databricks, SQL, and Finance domain knowledge; you will collaborate with business and technical teams to ensure smooth application performance and continuous improvements.

Formación

  • Experience in data engineering and production support.
  • Strong knowledge of Python, PySpark and Databricks.
  • Familiarity with incident management and RCA processes.

Responsabilidades

  • Monitor, troubleshoot, and resolve production incidents and service requests.
  • Handle support tickets, perform root cause analysis (RCA), and ensure timely resolution within SLA.
  • Support and maintain Databricks jobs, PySpark applications, and data pipelines.
  • Analyze data quality issues and coordinate with development teams for fixes.
  • Perform job monitoring, failure analysis, and recovery activities.
  • Provide operational support and continuous process improvements.
  • Collaborate with business and technical teams to ensure smooth application performance.

Conocimientos

Python
PySpark
Databricks
SQL
Finance domain
Incident management
ServiceNow/JIRA
Root Cause Analysis
Production support

Herramientas

ServiceNow
JIRA
Databricks tooling

Descripción del empleo

Capgemini Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role
  • Monitor, troubleshoot, and resolve production incidents and service requests.
  • Handle support tickets, perform root cause analysis (RCA), and ensure timely resolution within SLA.
  • Support and maintain Databricks jobs, PySpark applications, and data pipelines.
  • Analyze data quality issues and coordinate with development teams for fixes.
  • Perform job monitoring, failure analysis, and recovery activities.
  • Provide operational support and continuous process improvements.
  • Collaborate with business and technical teams to ensure smooth application performance.
Your Profile
  • Strong knowledge of Python, PySpark, and Databricks for data processing and pipeline development.
  • Good understanding of Finance domain concepts, data flows, and business processes.
  • Experience in L2 Production Support and incident management.
  • Python
  • PySpark
  • Databricks
  • SQL
  • Finance Domain Knowledge
  • Ticket Handling (ServiceNow/JIRA)
  • Incident & Problem Management
  • Production Support (L2)
  • Root Cause Analysis (RCA)
  • Monitoring & Troubleshooting
What you'll love

Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges. Growth and Learning at Every Step: Access continuous learning through internal academies, certifications and mentorship. Own your growth: Open access to digital learning platforms

About Capgemini Capgemini (Footer)

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-toend services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets. Job Description - Grade Specific The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

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