Python Developer

Job Location: Jersey City, New Jersey

⦁ Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided

⦁ Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions

⦁ Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability

⦁ Conduct code reviews, do changes to the codebase and maintain code repositories

⦁ Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards

⦁ Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications

⦁ Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability

⦁ Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Your contribution to the team:

⦁ A collaborative spirit and excellent communication skills.

⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation.

⦁ A knack for translating complex requirements into actionable development tasks.

⦁ A passion for design and hands-on coding experience

⦁ A proactive approach to testing, troubleshooting, and refining our applications.

⦁ The ability to work with cross-functional teams and do software integration.

Experience in end-to-end implementation of projects in Python, especially Python server-side backend programming

Good understanding of OOPS concepts

Knowledge and hands-on experience in SQL, Unix shell scripting.

Knowledge in RESTful APIs, Data structures, Algorithms, Collections, Multi-threading and memory management and concurrency

Experience with ETL. MongoDB and Hadoop will be an advantage

Experience working with agile methodologies and SDLC processes would be preferred. Knowledge of performance tuning data intensive applications

Ability to deploy python code on to containers using OpenShift and docker etc.

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