Requirements

Expected technologies

Microsoft Azure

SQL

NoSQL

Python

JavaScript

TypeScript

Optional technologies

Azure Cognitive Services

Operating system

Windows

Linux

Our requirements

• Proven experience with Microsoft Azure Cloud environment and services (e.g., AI Service, Azure Data Factory, Azure Synapse Analytics)
• Good experience in data engineering, with a focus on building and managing ETL pipelines
• Experience with SQL and NoSQL databases
• Strong experience in programming languages such as Python and SQL (Javascript/Typescript is plus)
• Strong understanding of data modeling, data warehousing, and big data technologies
• Familiarity with GenAI models such as LLM and natural language processing techniques
• Experience with Azure Cognitive Services and other AI/ML frameworks
• Knowledge of LLM and RAG solution is preferred
• Familiarity with DevOps practices and CI/CD pipelines
• Strong English language skills
• Strong problem-solving and analytical skills

Your responsibilities

• Collaborating with data scientists and software engineers to integrate GenAI models into business applications, such as conversational chatbots and analytics
• Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain
• Utilizing the Azure Cloud environment and services, including AI Service, Data Factory, Synapse Analytics, Container App, App Jobs, and App Configuration, to build, manage, and run data pipelines and cloud-native applications
• 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