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Application Support Engineer

accentureHyderabadIndia2h ago
onsitefull-timeentry
15 views10 applicants
💼 Competitive Salary

Job Description

Key Responsibilities: Design, develop, and maintain Python-based applications and services. Write clean, efficient, and well-documented code. Participate in the full software development life cycle, from concept to deployment. Work closely with product managers, data scientists, and engineers to understand requirements and translate them into technical solutions. Troubleshoot and debug issues, optimize code for performance, and ensure scalability. Write unit tests and conduct code reviews to maintain code quality. Integrate third-party APIs and services into our applications. Stay up-to-date with the latest industry trends and technologies, and proactively apply them to the development process. Required Skills and Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience). Strong proficiency in Python and its frameworks (e.g., Django, Flask). Experience with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with version control systems such as Git. Solid understanding of RESTful API design and integration. Strong problem-solving skills and attention to detail. Ability to work collaboratively in an agile team environment. Knowledge of software design patterns and best practices. Preferred Qualifications: Experience with cloud platforms like AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker. Knowledge of front-end technologies (e.g., HTML, CSS, JavaScript). Experience with asynchronous programming and frameworks such as Celery. Experience in data analysis, machine learning, or AI is a plus. Education : Any Degree / 15 Year full time education

Key Responsibilities

  • Design, develop, and maintain Python-based applications and services. Write clean, efficient, and well-documented code. Participate in the full software development life cycle, from concept to deployment. Work closely with product managers, data scientists, and engineers to understand

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