For this Job, you will require: • BTech/ Masters degree or equivalent in computer science/computer engineering/IT, technology, or related field. • 8 (or) More Years of Good Hands-on Experience in Azure Data Engineering • Good hands-on experience on Azure Data Lake, Data Factory, Data Bricks and Logic apps. • Strong SQL Skills and Hands on experience. To join us, you should: • Have excellent relationship building and organizational skills. • Enjoy working in a fast-changing field. • Be able to demonstrate the solution/product capabilities to clients. • Be able to design new solutions and products for multiple domains. You must have: • Designed (or) worked-on solutions on Azure platform using Azure data factory, Azure Data Lake, Azure Data Bricks, Azure Synapse Analytics, Azure SQL, Power shell, Azure logic apps, Azure automation, Blob storage and T-SQL. • Should have done at least 1 greenfield Data Lake, Delta Lake(or) Data warehousing project in Azure landscape. • Design, build and maintain Azure Data Analytics solution. • Should be well familiarized with CI/CD in Azure DevOps platform. • Build solution as per the customer needs and defined Architecture. • Analyse, design, implement and test medium to complex mappings independently. • Strong experience in transforming large datasets as per business needs. • Should be able to write scripts in Python or any other scripting language. • Understanding of Self-Service BI/Analytics, User Security, Mobility, and other BI • Participate in design/discovery sessions and workshops with end users. • A flexible approach to dealing with ad-hoc queries. • To Guide and help the junior team members in achieving their goals and objective.

We are seeking a skilled and experienced Python Developer with expertise in the FastAPI framework and hands-on experience in deploying applications on Azure Kubernetes Service (AKS). The ideal candidate will build scalable, high-performance applications and manage robust cloud-native deployments while enjoying the flexibility of a hybrid work model. Key Responsibilities: Design, develop, and maintain RESTful APIs using FastAPI. Architect and implement scalable backend solutions with a focus on performance and reliability. Deploy, manage, and monitor applications on Azure Kubernetes Service (AKS). Collaborate with front-end developers, product managers, and other stakeholders to deliver seamless integrations. Write clean, efficient, and reusable code with comprehensive documentation. Conduct code reviews, debug issues, and optimize existing solutions. Integrate APIs with databases, third-party services, and front-end systems. Ensure best practices in security, testing, and deployment in cloud environments. Key Skills and Qualifications: 3-5 years of professional experience in Python backend development. Strong expertise in FastAPI framework and building RESTful APIs. Hands-on experience with Azure Kubernetes Service (AKS) for container orchestration. Proficiency in working with relational and non-relational databases (e.g., PostgreSQL, MongoDB). Familiarity with API authentication and authorization mechanisms (e.g., OAuth, JWT). Knowledge of Docker and containerized application deployments. Experience with CI/CD pipelines and version control systems (e.g., Git). Understanding of asynchronous programming in Python (e.g., asyncio, aiohttp). Strong problem-solving skills and attention to detail. Show more Show less