Databricks Data Engineer

 Posted 4 hours ago
  
 Mexico
  
2-5 years experience
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AI Summary

The role involves supporting and maintaining enterprise data platforms using Databricks, Airflow, and PySpark to ensure scalable data processing. You will troubleshoot production incidents and collaborate with global teams to drive operational excellence and platform stability.

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

 
  • The Databricks Engineer – Operations role is responsible for supporting and maintaining enterprise data platforms built on Databricks, Airflow, and PySpark.
  • The role focuses on ensuring reliable, efficient, and scalable data processing pipelines for business-critical analytics and reporting systems.
  • Troubleshoot production incidents, perform root cause analysis, and implement sustainable solutions to improve platform stability.
  • Collaborate with global teams including Data Engineering, QA, and Business stakeholders to deliver high-quality data services.
  • Work with modern cloud technologies across Azure and AWS, driving operational excellence, automation, and continuous improvement.
  • Grow your expertise in scalable data platforms, performance optimization, data quality, and emerging technologies within a collaborative and innovative environment.

Your Profile

  • 4+YOE Strong experience with Databricks (Spark / PySpark) 
  • Hands-on experience with Apache Airflow (DAGs, scheduling, monitoring)
  • Proficiency in Python and SQL
  • Experience in data pipeline operations and production support
  • Knowledge of distributed data processing and Spark optimization
  • Familiarity with Unix/Linux environments
  • Understanding of ETL/ELT processes and data warehousing concepts
  • Experience with cloud platforms (Azure / AWS) is preferred 
  • Experience with Microsoft Fabric / Azure Data Services - nice to have
  • Exposure to data governance and data quality frameworks -nice to have
  • Fluent English level

What you’ll love

  • Empowered Careers with Purpose Work on meaningful projects that use technology to solve real-world challenges.
  • Be part of a company that values sustainability, inclusion, and digital equity.
  • Contribute to building a better future for people, planet, and society. 

Need to know 

This role can be working from any state of Mexico

Capgemini

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-to end 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. 

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