- Develop High performing & scalable Distributed Data processing applications.
- Develop back-end components to improve responsiveness and overall performance.
- Integrate user-facing elements into applications.
- Build Test Automation and CI/CD pipelines.
- Build wrapper scripts and common frameworks.
- Implement security and data protection solutions.
- Assess and prioritize feature requests.
- Coordinate with internal teams to understand user requirements and provide technical solutions.
- Design, build, and maintain efficient, reusable, and reliable Python code
- Should be able to customize and maintain for enterprise environment
- Design and implement software platform with Microservices Architecture, based on Docker's Ecosystem
- Integration of data storage solutions {{may include databases, key-value stores, blob stores, etc.}}
- Integration with various of monitoring backend tools
- Identify bottlenecks and bugs, and devise solutions to these problems
- Help maintain code quality, organization and automatization
- Participate in early product demonstrations to customers
Requirements
- Bachelor's Degree or master’s degree in Computer Science, Mathematics, Statistics.
- 10+ years of hands-on software engineering experience.
- 5+ years of experience in writing scripts using Python
- 5+ Years of complex SQL / PL SQL development experience
- Solid understanding of object-oriented programming.
- Experience in building reusable scripts and frameworks
- Experience in building CI/CD pipelines
- Experience with Test Automation
- Experience working in Agile framework
- Working experience on AWS
Candidate Details
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