Data Engineer Ssr
Capgemini
Data Engineer Ssr
Capgemini
Global consulting, technology services, outsourcing
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 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 Summary
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.
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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.
Capgemini provides consulting, technology services, and outsourcing to help organizations transform digitally. Its offerings include strategy and transformation consulting, system integration, application development, IT infrastructure management, and managed IT operations. It differentiates itself with a global presence in over 50 countries and a focus on applying AI, cloud, and cybersecurity to real business problems. Its goal is to help clients navigate digital transformation and improve efficiency and innovation through tailored, contract-based or managed services.
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