Must have

• Azure

• Python

• SQL

• English

Requirements description

• 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

Offer description

We’re a fast-growing Insights & Data team team of 400+ data experts working with Azure, AWS, and GCP to create delivering cutting-edge, data-driven solutions. You’ll be part of a team that manages the full Software Development Life Cycle (SDLC) using modern frameworks, agile methodologies, and DevOps best practices.

🔹 Work with cutting-edge tech

🔹 Collaborate with passionate professionals

🔹 Grow in cloud, data, and DevOps

Big Data. Bigger Impact.

Let’s shape what’s next – together.

Your responsibilities

1. Collaborating with data scientists and software engineers to integrate GenAI models into business applications, such as conversational chatbots and analytics
2. Managing, optimizing, and streamlining Data/AI workflows using AI orchestrators like LangChain
3. 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
4. Implementing Azure Cognitive Services for natural language processing and other AI functionalities
5. Designing and managing efficient database schemas to meet application data requirements
6. Performing database tuning and query optimization to ensure high performance

show all (9)