at Capgemini
ConsultanciesPosted 15 days ago
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**Data Engineer - Azure Data Factory (Remote, México)** Design, maintain scalable data pipelines using Azure Data Factory. Collaborate cross-functionally to ensure data accessibility and reliability for analytics and reporting. Key tasks include identifying pipeline failures, monitoring Databricks jobs, and optimizing ETL processes. Proficient in Python, familiarity with Azure Cloud Services, and 3+ years of relevant experience required. Azure certifications, Databricks, Power BI, and Agile/Scrum experience preferred. Enjoy flexible work arrangements, continuous learning, and meaningful projects at this global leader in engineering services.
- Compensation
- Not specified
- City
- Not specified
- Country
- Mexico
Currency: Not specified
Full Job Description
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role
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.
- 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).
Your profile
- Bachelors 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.
What you will 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.
- Growth and Learning at Every Step: Access continuous learning through internal academies, certifications, and mentorship. Explore career mobility across roles, industries, and geographies. Be part of a school of excellence where your skills resonate beyond the company
- Own your growth: Open access to digital learning platforms. Digital campuses on AI, Cloud, Data or Sustainability. Award winning career acceleration programs
Need to know
- Work Modality Options: Choose between remote, hybrid, or on-site work depending on project needs and personal preferences. Offices available in CDMX, GDL, AGS.
About 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.
