Design and implement scalable data pipelines using Azure Data Factory, Databricks, and Synapse Analytics
Develop and maintain ETL/ELT workflows for structured and semi-structured data
Build and deploy full-stack web applications using React.js, Angular, or Vue.js on the frontend, and Python (Flask/Django), Node.js, or Java Spring Boot on the backend
Containerize and deploy applications using Docker and Kubernetes, ensuring scalability and reliability
Integrate APIs and automate workflows using Logic Apps, Azure Functions, and RESTful services
Secure applications and data using Azure Key Vault, RBAC, and managed identities
Use Generative AI tools to accelerate coding, data transformation, and documentation
Prototype and deploy AI-powered features such as natural language interfaces, smart data summarization, or code generation
Apply software engineering best practices including version control, unit testing, CI/CD, and cloud-native development
Collaborate with cross-functional teams to deliver robust, scalable, and secure solutions

3 to 5 years of experience with Azure services: Databricks, ADF, Logic Apps, Key Vault, Data Lake, Synapse
Proficiency in Python, SQL, Spark, and modern web development stacks
Experience deploying containerized applications using Docker and Kubernetes
Familiarity with DevOps, Git, CI/CD pipelines, and cloud-native development
Exposure to GenAI tools for development or data workflows
Strong problem-solving, communication, and collaboration skills
Able to handle identity management/RBAC
Strong problem-solving ability, creative ideation, and rapid prototyping experience

Associate Software Engineer – Data Engineer, Software Engineer

Key skills