at Capgemini
ConsultanciesPosted 10 days ago
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**Azure Data Engineer**: Design & maintain Azure data solutions, optimize data pipelining, and collaborate with functional teams. Key responsibilities include data cleansing, transforming, and optimizing; developing Azure solutions; automating tasks with production-standard code; and loading data into storage structures. Requires 3-5 years of data engineering experience, with 2-3 years focused on Azure. Familiarity with Azure Data Factory, Azure Data Lake Storage, and event-driven architectures is essential.
- Compensation
- Not specified
- City
- Not specified
- Country
- Romania
Currency: Not specified
Full Job Description
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where youll be able to reimagine whats possible. Join us and help the worlds leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
About the job
In your role as an Azure Data Engineer, you will be responsible for expanding and optimizing data and pipeline architectures, and for optimizing data collection and flow across functional teams.
Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects.
YOUR ROLE
- Assure that data is cleansed, mapped, transformed, and otherwise optimised for storage and use according to business and technical requirements
- Develop and maintain innovative Azure solutions
- Solution design using Microsoft Azure services and other tools
- The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
- Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
- Build data pipelines to collectively bring together data
- Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
YOUR PROFILE
- 3 to 5 years in data engineering or data warehousing, with at least 23 years focused heavily on Azure.
- Azure Data Factory (ADF) / Azure Data Lake Storage (ADLS)
- Data ingestion and integration architectures
- Event-driven and streaming architectures / Real-time and near real-time data processing
WHAT YOU'LL LOVE ABOUT WORKING HERE:
- Flexible and dynamic work environment involving teams spread across different global locations;
- Communities with shared interests and identities, all working together to advance diversity, equity and inclusion within the workplace and society;
- Do you want to learn more? You will have access to various training programs and platforms (e.g.: content provided by Pluralsight, Harvard and Coursera);
- Attractive benefits package (meal tickets, medical services, Benefit online, Employee Share Option Plan).
Capgemini is an equal opportunity employer. We promote equality and dignity in all aspects of recruitment and employment, and all offers of employment and promotions are made on the basis of performance, competence and ability.
About Us
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 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. The Group reported 2024 global revenues of €22.1 billion.
Make it real | www.capgemini.com
