Capgemini

Devops Support

Capgemini Aguascalientes City, Aguascalientes, Mexico

IT Services and IT Consulting · 10,001+ employees

Yesterday
devops Mid (2-5 yrs) Full-time Mexico
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About the role

Monitor, troubleshoot, and resolve production incidents while maintaining Databricks jobs and data pipelines. Collaborate with technical and business teams to ensure application performance and perform root cause analysis.

What they look for

Python PySpark Databricks SQL Finance domain knowledge L2 production support Incident management Root cause analysis Monitoring Troubleshooting ServiceNow JIRA Data pipelines Data quality Failure analysis

Requirements

Requires strong proficiency in Python, PySpark, and Databricks for data processing. Candidates should have experience in L2 production support and a solid understanding of finance domain concepts.

Benefits

Continuous learning Certifications Mentorship Digital learning platforms

Full description

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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