at Capgemini
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**Senior Data Engineer** at Capgemini Engineering drives innovative R&D and engineering services. You'll lead release management, coordinate cross-functional teams, and deploy data engineering applications. Key responsibilities include planning, executing, and managing releases, identifying interdependencies, communicating change management, and supporting project timelines. Required skills: CI/CD, Git, DevOps, Python, Spark, PySpark, Airflow, Azure, Databricks, Unity Catalog, MicroStrategy, and Tableau. Bring your comfort with command line interfaces and understanding of data warehousing for a challenging, varied role in a global engineering environment.
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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.
Job Description
Your Role:
- Plan, manage, and execute releases across all environments - from development to production.
- Identify technical and functional interdependencies between various tracks.
- Coordinate with all development pods and stakeholders across programs.
- Review application code, documentation, and perform pre/post deployment tasks.
- Define release process for new data engineering applications.
- Change management communication to all required stakeholders.
- Execute release packages, step-by-step deployment guides, and command line instructions on production environment.
- Support project timelines, clearly setting expectations, and realigning expectations internally as priorities change.
- Develop a sound understanding of clients needs: data conversion and migration requirements, environment management and build processes, deployment planning and execution, solution designs, systems integrations, technical architectures, and infrastructure architectures.
Your Profile:
- Execute deployment scripts and step-by-step instructions in test and production environments.
- Comfortable with Command Line Interfaces.
- Understanding of CI/CD, Git branching, packaging and DevOps pipelines.
- Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau.
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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.
