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.
#LI-LB21
Job Description - Grade Specific
Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code
549102
Posted on
Nov 1, 2026
Experience Level
Experienced Professionals
Contract Type
Permanent
Location
Buenos Aires, AR
Brand
Capgemini Engineering
Professional Community
Software Engineering
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