Informacje o stanowisku

• Managing and optimizing Data/AI workflows using AI orchestrators like LangChain.
• Designing and managing database schemas to efficiently meet application data requirements.
• Utilizing Azure Cloud services (AI Service, Data Factory, Synapse Analytics, Container App, App Jobs, App Configuration) to build, manage, and run data pipelines and cloud-native applications.
• Collaborating with cross-functional teams to understand business needs and translate them into technical solutions.
• Documenting data workflows, processes, and architectures to maintain clarity and consistency.
• Integrating (Gen) AI models into business applications, such as conversational chatbots and analytics, in collaboration with data scientists and software engineers.
• Performing database tuning and query optimisation to ensure high performance.
• Implementing Azure Cognitive Services for natural language processing and other AI functionalities.
• Ensuring security and compliance of all data solutions, including data encryption and access controls.
  

• Strong analytical skills, particularly in optimizing database performance and managing distributed systems.
• Over 3 years in data engineering, focusing on building and managing ETL pipelines with Oracle, PostgreSQL, and Azure Synapse.
• Excellent skills in collaborating with cross-functional teams.
• Hands-on experience with container orchestration and management.
• Proven experience with Azure Synapse Analytics, SQL Dedicated Pool, and container distribution using Argo CD.
• Solid understanding of container management, automated testing, and deployment processes.
• Proficiency in using Jenkins and Nexus for continuous integration and deployment.
• Familiarity with Azure Cognitive Services and other AI/ML frameworks in cloud-based architectures.
• Knowledge of best practices, including data encryption and compliance protocols.
• Very good command of English, both spoken and written.

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