Lead Python Engineer

4 - 8 years

6 - 10 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

As a Lead Engineer, you will play a critical role in shaping the technical direction of our projects. You will be responsible for leading a team of developers undertaking Creditsafe s digital transformation to our cloud infrastructure on AWS. Your expertise in Data Engineering, Python and AWS will be crucial in building and maintaining high-performance, scalable, and reliable systems. Key Responsibilities: Technical Leadership: Lead and mentor a team of engineers, providing guidance and support to ensure high-quality code and efficient project delivery. Software Design and Development: Collaborate with cross-functional teams to design and develop data-centric applications, microservices, and APIs that meet project requirements. AWS Infrastructure: Design, configure, and manage cloud infrastructure on AWS, including services like EC2, S3, Lambda, and RDS. Performance Optimization: Identify and resolve performance bottlenecks, optimize code and AWS resources to ensure scalability and reliability. Code Review: Conduct code reviews to ensure code quality, consistency, and adherence to best practices. Security: Implement and maintain security best practices within the codebase and cloud infrastructure. Documentation: Create and maintain technical documentation to facilitate knowledge sharing and onboarding of team members. Collaboration: Collaborate with product managers, architects, and other stakeholders to deliver high-impact software solutions. Research and Innovation: Stay up to date with the latest Python, Data Engineering and AWS technologies, and propose innovative solutions that can enhance our systems. Troubleshooting: Investigate and resolve technical issues and outages as they arise. Qualifications: Bachelor's or higher degree in Computer Science, Software Engineering, or a related field. Proven experience as a Data Engineer with a strong focus on AWS services. Solid experience in leading technical teams and project management. Proficiency in Python, including deep knowledge of data engineering implementation patterns. Strong expertise in AWS services and infrastructure setup. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Excellent problem-solving skills and the ability to troubleshoot complex technical issues. Strong communication and teamwork skills. A passion for staying updated with the latest industry trends and technologies.

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