Python Data Engineer

Role & responsibilities Develop, test, and maintain high-quality Python applications. Write efficient, reusable, and reliable code following best practices. Optimize applications for performance, scalability, and security. Collaborate with cross-functional teams to define, design, and deliver new features. Design and manage databases using SQL to support application functionality. Think from a customer's perspective to provide the best user experience. Participate in code reviews to maintain code quality and share knowledge. Troubleshoot and resolve software defects and issues. Continuously learn and apply new technologies and best practices. Propose and influence architectural decisions to ensure the scalability and performance of the application. Work in agile/iterative software development teams with a DevOps setup. Requirements: Bachelors degree in BE/B.Tech, BSc, BCA, or equivalent. Experience in data engineering domain At least 6 months of professional experience in Python development. Experience developing and implementing robust back-end functionalities, including data processing, APIs, and integrations with external systems. Strong problem-solving skills. Self-motivated and able to work independently as well as part of a team. Familiarity with Git and CI/CD pipelines using Bitbucket/GitHub. Solid understanding of API design, REST API, and GraphQL. Knowledge of unit testing. Good to have Hands-on experience with AWS services, including Lambda, Glue, SQS, AppSync, API Gateway, and Aurora RDS, and experience with AWS serverless deployment. Hands-on experience with AWS and Infrastructure as Code (IaC). Preferred candidate profile