Data Engineer - REMOTE

Guadalajara, JAL, MX

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Capgemini

A global leader in consulting, technology services and digital transformation, we offer an array of integrated services combining technology with deep sector expertise.

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Data Engineer (México, Remote)

 

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology.

 

Seeking a skilled and motivated Data Engineer with expertise in Azure Data Factory (ADF) to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes using Azure services. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for analytics and reporting.

 

Responsabilities:

 

  • Identify and troubleshoot root causes of failures in pipelines built with Azure Data Factory.
  • Review team monitoring reports to identify issues and create corresponding User STpries / PBIs for resolution.
  • Monitor the status of Databricks jobs and ADF pipelines.
  • Understand the concepts of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
  • Work with Azure Cloud Services, Azure Data Factory and Python / SPARK (we use Azure Databricks).

 

Qualifications:

 

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
  • 3+ years of experience in data engineering or related role.
  • Proficiency in Python.
  • Strong understanding of ETL/ELT processes.
  • Experience with Azure Cloud Services specially in Azure Data Factory.
  • Ability to review monitoring reports and create PBIs for necessary fixes.
  • Focus on system maintenance.

 

Prefered qualifications:

 

  • Azure certifications (e.g., Azure Data Engineer Associate).
  • Experience with Databricks, Power BI, or Azure DevOps.
  • Experience working in Agile/Scrum environments.

 

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 300,000 team members in nearly 50 countries. With its strong 50-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.

 

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Azure Computer Science Databricks Data pipelines DevOps ELT Engineering ETL Pipelines Power BI Python Scrum Spark

Regions: Remote/Anywhere North America
Country: Mexico

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