Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
responsibilities :
Collaborating with data scientists and software engineers to integrate (Gen)AI models into business applications, such as conversational chatbots and analytics.
Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain
Implementing Azure Cognitive Services for natural language processing and other AI functionalities
Designing and managing efficient database schemas to meet application data requirements
Performing database tuning and query optimization to ensure high performance
Working closely with cross-functional teams to understand business requirements and translate them into technical solutions
Documenting data workflows, processes, and architectures
Ensuring that all data solutions adhere to security and compliance standards, including data encryption and access controls
requirements-expected :
3 + years experience in data engineering, with a focus on building and managing ETL pipelines in environments that utilize Oracle, PostgreSQL, and Azure Synapse.
Proven experience with Microsoft Azure DevOps environment and services, including Azure Synapse Analytics, SQL Dedicated Pool, and container distribution using Argo CD.
Hands-on experience with Kubernetes for container orchestration and management.
Proficiency in using Jenkins and Nexus for continuous integration and continuous deployment (CI/CD) pipelines.
Strong problem-solving and analytical skills, particularly in optimizing database performance and managing distributed systems.
Excellent communication and collaboration skills, especially when working across cross-functional teams.
Familiarity with Azure Cognitive Services and other AI/ML frameworks in cloud-based architectures.
Solid understanding of DevOps practices, including container management, automated testing, and deployment processes.
offered :
Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we
went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Lets talk about wellbeing" which you can listen to on Spotify.
Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.
Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.
Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.
benefits :
sharing the costs of sports activities
private medical care
life insurance
no dress code
parking space for employees
extra social benefits
redeployment package
employee referral program
charity initiatives
access to courses e.g. Excel, VBA, RPA, Customer Care
