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