
Senior Azure Data Platform Engineer (DevOps) @ Capgemini Polska Sp. z o.o
- Polska
- Stała
- Pełny etat
- Proven experience with Microsoft Azure DevOps environment and services, including Azure Synapse Analytics, SQL Dedicated Pool, and container distribution using Argo CD.
- At least 3 + years experience in data engineering, with a focus on building and managing ETL pipelines in environments that utilize Oracle, PostgreSQL, and Azure Synapse.
- Hands-on experience with Kubernetes for container orchestration and management.
- Strong experience 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.
- Good 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.
- Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we
- 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.
,[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: Microsoft Azure, Azure Synapse Analytics, SQL, Argo, CD, Data engineering, ETL, Oracle, PostgreSQL, Kubernetes, Jenkins, Continuous deployment, Continuous integration, Analytical skills, AI, DevOps, Automated testing Additionally: private life insurance, Private healthcare.
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