Jr/SSr Data Engineer

Capgemini Engineering; Buenos Aires; Presencial; ARS 2.000.000 - 3.600.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Buenos Aires seeks a Data Engineer specialized in Azure Data Factory to design, develop and maintain scalable data pipelines and ETL processes, collaborating with analysts, data scientists and stakeholders to ensure reliable analytics-ready data.

The role requires a BS in CS/Engineering, 3+ years in data engineering, Python proficiency, and experience with Azure Data Factory, Databricks, and Azure cloud services; knowledge of ETL/ELT and agile environments is a plus.

Formación

• 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.

Responsabilidades

• Identify and troubleshoot root causes of failures in pipelines built with Azure Data Factory.
• Review team monitoring reports to identify issues and create corresponding 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).

Conocimientos

Python

ETL/ELT

Azure Cloud Services

Monitoring & PBIs

Data pipelines

Educación

Bachelor’s degree in Computer Science, Engineering, Information Systems

Herramientas

Azure Data Factory

Databricks

Power BI

Azure DevOps

Descripción del empleo

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 mostinnovative 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.

Job Description

We are 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.

# 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.